Dental caries is one of the most prevalent oral diseases worldwide.1Therefore, research on the subject is abundant in various fields ranging from aetiology2,3 to diagnosis,4 prevention,5,6 and treatment.7 However, the direction in which research is currently flowing is unclear, as well as who and how are conducting the scientific production on dental caries.
The literature provides some systematic reviews on dental caries with various perspectives,8,9,10 but there are few bibliometric studies available. A number of studies have been conducted to observe local production11 or report local prevalence,12 and some include dental caries as part of broader bibliometric studies in oral health.13,14 However, systemic reviews on the scientific production on this specific topic are scarce.
The search for measurable results on the production of scientific knowledge in relation to a specific topic requires specific methodologies to quantify, group, and identify the connections among groups, researchers, and topics, in order to establish the state of the art in a specific subject.15,16 To this end, bibliometrics is the main quantitative and qualitative analytic tool that has been available for some time now.17,18
Bibliometrics is the closest and most useful analytical way to measure and understand production in science.19 The methodological structure of bibliometric studies helps establish the data that are related to scientific outputs (number of publications per author, years of publication, country of origin), scientific impact (number of citations), scientific collaboration (co-citations and co-authorship).20,21
These data show current trends and production patterns in research on the specific topic under analysis, as well as key information for future research and guidelines for publishers with the highest possible strength and quality.22
The present study aims to establish the main aspects in the scientific production on dental caries in the period 2014-2018, as a guideline for those interested in the production of new research and as information on the importance of this topic among interested publishers.
This dental caries bibliometric study used Clarivate Analytics’ Web of Science, which is considered the most robust source of data.23The search was conducted in its Core Collection, identifying all the articles on dental caries from January 1, 2014 through September 24, 2018 with the following algorithm: “Dental Caries” OR “Dental decay” OR “Initial caries” OR “Caries susceptibility” or “White spot” OR “Tooth demineralization”. The authors agreed on this search algorithm after a pilot test conducted independently with different search alternatives, as recommended by Adnan and Ullah.24 The search was refined by years of publication from 2014 to September 2018 in “Dentistry Oral Surgery Medicine”, including two categories only: articles and revisions. The data obtained from Web of Science were exported to Excel 2013 for content analysis. The information taken from the articles was: name of first author, institution and country of origin of first author, number of authors, name and impact factor of journal, year of publication, number of citations, average citations of each article since publication, and keywords. Descriptive statistics were performed in order to obtain averages and frequencies.
The free VOSviewer software (Center for Science and Technology Studies, Leiden University, The Netherlands) was used to analyze and observe relationships among authors, countries, co-citations and terms.25,26 This software allows to calculate and locate each unit of analysis in a two-dimensional map. The distance between two elements is a measure of their relations and similarities.27 Images are represented by color-coded clusters.28 Interpretation takes into account both the size of nodes and the size of label font and represents the number of occurrences. These charts allow to change the perspective by freely rotating them.25,29 The analysis of cooperation among authors with VOSViewer was made in authors who had at least five publications on the subject, with a minimum of one citation; all authors lacking connections with others were excluded.
A total of 2,291 publications related to the search algorithm were identified. The number of publications accumulated between 2014 and 2018 has increased significantly. The output of accumulated articles is growing at 23% per year; however, between 2014 and 2015 there was a 28% increase in the number of publications (2014: n = 384; 2015: n = 492) and the production has remained stable after 2015 (Figure 1). In terms of yearly production, the publications on the subject show a linear growth, not counting the production until September 2018, when apparently there was a slowdown in the production of articles on the topic. The average number of publications for the first four years from 2014 to 2017 (up to the September 2017 period) was 458 ± 81 articles. By 2018, the slight decline trend may be associated with an underreporting of the entire production that year. In the same period there were 212 review articles. These results show a trend towards an annual increase of publications in this field; and fluctuations coincide with other publications that clearly show similar changes in pace, keeping the increasing trend in number of publications.30
A total of 7,745 authors participated in the 2,291 articles in this period. A proportion of 46% of authors appear in a single publication (n = 3586/7745), 23.2% (n = 1799/7745) in two publications; between three and five publications or more are credited with 19.8% of authors (n = 1534/7745), and 3.3% of authors with more than 10 publications (n = 258/7745). These values are consistent with claims that a small group of authors make a greater number of contributions on specific topics.29,31 In a classification based on number of publications per author (Table 1), ten authors have significant productivity on the subject, including Paiva, from Brazil, with 33 publications, followed by Schwendicke from Germany and Twetman from Denmark with 29 articles each. The average citations by number of articles range from 3 to 10, with Schwendicke as the lead author in this respect. Three of the authors do not appear in publications as main authors, while the remainder vary between 2 and 4 articles heading the list of authors. It becomes difficult to analyze the contributions of each author within each publication, as information in this regard is not available. On the other hand, it may be possible to find lead authors not heading the list of contributors, although this may be changing along with the journals’ policies for publication.32
The average number of authors per publication was 3.38. Publications with a single author accounted for 3.45% (n = 79/2,291); two authors for 7.6% (n = 173/2,291); three authors for 13.0% (n = 298/2,291); four authors for 10.8% (n = 413/2,291); five authors for 19.2% (n = 439/2,291); 6 authors for 16.4% (n = 376/2,291) and articles with 7 authors accounted for 8.6% (n = 198/2,291).
More than 7 authors were found in 31.3% of articles (n = 716/2,291) and the maximum number of authors was 25. These results are consistent with the current trend, showing that more and more research is being published in collaboration by multiple authors, while unique authorship is becoming less frequent.32,33
The network resulting from this analysis is shown in Figure 2. It shows relationships among authors, represented by the proximity of the nodes and the connection edges; the size of nodes represents number of publications, and lines indicate collaborative publications. Colors represent collaboration groups (clusters)27 showing the formation of communities by relative frequency in their links in specific fields within the topic of dental caries in this case.34 The network shows 35 collaboration groups of 851 authors who met the inclusion criteria. The main authors in this collaborative network are Paiva, Mendes, Twetman, Levy, Lingstrom, Lo, and Schwendicke. These maps are a good representation of the situation in terms of cooperation; however, there are some limitations regarding possible biases that are usually controlled using disambiguation thesauruses and by the use of author identification, such as ORCID.29,35
The 2,291 articles were published by 177 different scientific journals; this corresponds to a relatively small number of titles, meaning that information on dental caries is probably concentrated. Table 2 groups the 10 scientific journals with the most publications on dental caries. 44.4% (n = 1017/2,291) of total production was published in these 10 journals. The impact factor (Journal Citation Reports) ranges from 1,383 to 5,380. Caries Research is the journal with the largest number of publications on dental caries (n = 176 articles) and is the only one specialized in the subject, while the others include articles on various disciplines of dentistry (endodontics, periodontics, orthodontics, social and community dentistry), and only two share topics with other disciplines such as medicine.
With the total number of publications, an analysis was made by country of origin and associated institution according to the information included for main authors. The documents on dental caries originated in 110 countries, 38 of which are in Europe, 32 in Asia, 23 in Africa, 15 in America and 2 in Oceania. 16.4% (n = 18/110) of countries produced more than 50 articles. The countries with the most production on dental caries are the United States (n = 488), Brazil (n = 424) and England (n = 187). The other seven countries and their production are shown in Figure 3. As for production in America, in addition to the U.S. and Brazil, the production concentrates, in order, in: Canada in 13th place with 61 articles, Chile in 23rd place with 29 articles, and Colombia in 37th place with 15 articles.
A study on the institutions associated with authors was carried out (it should be noted that an author may be associated with several institutions), with 2,070 institutions found for the 2,291 articles. 67.3% of institutions contributed one publication; 13.2% two publications; 5.3% three publications, and 2% contributed more than twenty publications. Table 3 lists the top 10 institutions producing caries-related articles. This classification shows two universities in Brazil, the University of São Paulo with 91 publications, and Universidade Federal Rio Grande do Sul with 47 publications; these were followed by the University of Copenhagen in Denmark with 56 publications. Three U.S. institutions are listed within the top 10 most productive. In Colombia, the top institution regarding the amount of publications on this topic is Universidad del Bosque, with 6 publications and 21 citations.
The cooperation network among nations was analyzed for countries with at least 10 publications on the subject; all countries that had no connections with others were excluded. The two largest groups are around the United States and Brazil, with the most collaborations with China, England, Sweden, Australia, India, Germany, and Japan among the most important. In this context, several productive Latin American networks appear among the most cooperative. Chile appears with the most connections (with Brazil, USA, Australia, England, Finland, Germany, Israel, Denmark, Egypt, Spain, Switzerland), followed by Colombia (with Brazil, USA, Germany, England and Denmark) and Mexico (with USA, Brazil, France and Canada).
A qualitative review of this list shows that university institutions are dominant, but there are also some hospitals and government institutions, indicating that this topic is both of academic and governmental public interest.
A citation is described as an article mentioning or referring to another article, which is known as article of origin.36 The 2,291 articles contain a total of 45,889 references; in addition, they have been cited by other authors 9,410 times at the time of the analysis. The author with the most citations is Kassebaum with 191; 32.56% of the articles do not have citations (n = 746/2,291), representing a significant number of articles with no citations. 67.43% (n = 1545/2,291) have more than one citation and 3% (n = 69/2,291) have more than 20. It should be noted that articles are cited for various reasons, including quality, valuable content or because of their popularity with or without regard to quality, among other factors.37 The average number of citations per article is 4.1. Table 4 shows the 10 most cited authors and their articles, excluding those who, having a significant number of citations, had no connection with other authors.
Citations reflect the visibility of publications. It is generally considered that open access publications38 are increasingly cited and this may be a limitation for the analysis; on the other hand, the fact that an article is more visible is not related to it being of a better quality, in fact, some publications may have a low citation indicator as they are new in the scientific field.39 The most cited article in the list is “Global Burden of Untreated Caries. A Systematic Review and Metaregression” by Kassebaum et al, with 191 citations, corresponding to 64 per year. The journal most frequently related to these high scores is Journal of Dental Research, which has an impact factor of 5,380 with seven of the ten publications. Some analyses state that the journals with the most impact factor are often more cited because more libraries want their access and therefore are available to a greater number of researchers.40 Of the 10 publications in the list, the most cited are associated with authors from the United Kingdom, followed by the United States. Brazil is the only Latin American country among the first. As for the topics in this list of articles related to dental caries, there are four studies related to public health and epidemiology, three related to sugar intake and three to biological and biochemical aspects. The citations, therefore, allow to establish basic and influential documents in the academic community.36 On the other hand, this analysis may be limited by the parameters established, as well as the fact that the analysis only covers five years, which may limit the influence of important articles that were left out due to the period of analysis. But it can also be an opportunity for other researchers to expand the information on this same topic.
Co-citation is understood as the relation created when an article cites two others, suggesting a relation among them because of content.41 The VOSviewer 1.6.9 software was used for this analysis, including the 2,291 articles but especially those containing one citation that has been used at least 20 times. Under these conditions, of the 45,889 references in the articles, 180 references reached the analysis threshold. In Figure 4, the size of nodes indicates the number of citations. The larger the node the more times it has been cited. In this representation, smaller distances indicate stronger relations, and colors separate groups by similar topics. Six thematic groups appear in this analysis. Four groups (dark blue, violet, red and yellow) show a nucleus with closer thematic relationships. An analysis by titles associated with each color yields the following groups: red includes articles on dental caries and general health aspects of interest to government institutions such as the World Health Organization; yellow is related to detection and diagnosis; dark blue to biology, microbiology and basic sciences; lilac articles are related to disease impact; the green group is related to techniques and treatment, and the light blue group is related to genetics and molecular biology topics. This indicator also shows the proximity relation that appears when an author belongs to a particular subfield within the topic, as it is understood that articles are cited together when the relations among them are closer.42
Co-occurrence identifies the most common keywords in abstracts and titles, as well as the keywords that most frequently appear in articles and the corresponding proximity between two or more terms.43,44 The analysis included all the keywords of the 2,291 articles that had 10 occurrences minimum; of the 6,979 keywords, 405 were included on the threshold. The distance among terms provides information about the relationship among terms and is established by counting the number of times a word appears in titles and abstracts.26,45 In this way, the more proximity between two terms, the stronger their relation. Colors represent the possible groupings by theme.
The most common keywords and their occurrence values were dental caries with 1980, oral health with 549, children with 526, and prevalence with 356. The 20 most common terms and their values can be seen in Figure 5. Analyzed by year in Overlay Visualization by VOSviewer, it shows that since 2016 there have been higher frequencies in the following words: association, global burden, periodontitis, and caries detection. The association of the keywords periodontitis and caries detection may be explained because the number of publications related to prevention programs for both diseases have increased.
It should be noted that there is no scientific literature database containing all the world’s production regarding a single topic. This suggests that the results obtained and analyzed in this article contain only the scientific production of a set period of time to analyze this type of data; therefore, some relevant publications may be outside the analysis and others, which are very recent, could have a high impact on the discipline and subject matter, but at the time of the study may have had a low specific weight in the analysis. On the other hand, some authors suggest that indicators such as the H index may contain biases, and therefore suggest to apply other metric types; however, the databases of scientific production analysis keep using such indicators.
The present study performed a bibliometric analysis of the academic production worldwide in relation to dental caries for the period 2014-2018 in WOS. It identified that the scientific production remains on the rise for the evaluated years with a linear growth in a low-pitched slope, suggesting that this topic is approaching a saturation point-but this claim requires further study-. The analysis was carried out on 2,291 articles; in these, 3.3% of authors reported presence in more than 10 publications. In terms of countries, the United States has the institutions producing the most articles, followed by Brazil. The institution with the most production in this area is the University of São Paulo; in terms of authors, Paiva from Brazil is the one with the most publications, followed by Schwendicke from Germany. A total of 177 journals have articles on this topic, with Caries Research in the first place; most journals publish a mix of dental topics. As for keywords in titles and abstracts, the most common after dental caries and oral health are related to children and prevalence. In the last few years, the words association and periodontitis are also emerging. On the other hand, research and cooperation groups are connected in six clusters that have to do with detection, diagnosis, basic sciences, disease impact, treatment techniques, and genetic and molecular biology applied to the study of etiology and disease development. This all shows that research on dental caries remains in place and is developed by an important group of productive scientists in aspects that may be of interest to other researchers.
1. Kassebaum NJ, Bernabé E, Dahiya M, Bhandari B, Murray CJ, Marcenes W. Global burden of untreated caries: a systematic review and metaregression. J Dent Res. 2015; 94(5): 650-8. DOI: https://doi.org/10.1177/0022034515573272
NJ Kassebaum E Bernabé M Dahiya B Bhandari CJ Murray W Marcenes Global burden of untreated caries: a systematic review and metaregressionJ Dent Res.2015945650658https://doi.org/10.1177/0022034515573272
2. Featherstone JD. The continuum of dental caries-evidence for a dynamic disease process. J. Dent Res. 2004; 83: 39-42. DOI: https://doi.org/10.1177/154405910408301s08
JD Featherstone The continuum of dental caries-evidence for a dynamic disease processJ. Dent Res.2004833942https://doi.org/10.1177/154405910408301s08
3. De Jong-Lenters M, Duijster D, Bruist MA, Thijssen J, de Ruiter C. The relationship between parenting, family interaction and childhood dental caries: a case-control study. Soc Sci Med. 2014; 116: 49-55. DOI: https://doi.org/10.1016/j.socscimed.2014.06.031
M De Jong-Lenters D Duijster MA Bruist J Thijssen C de Ruiter The relationship between parenting, family interaction and childhood dental caries: a case-control studySoc Sci Med.20141164955https://doi.org/10.1016/j.socscimed.2014.06.031
4. Selwitz RH, Ismail AI, Pitts NB. Dental caries. Lancet. 2007; 369(9555): 51-9. DOI: https://doi.org/10.1016/S0140-6736(07)60031-2
RH Selwitz AI Ismail NB Pitts Dental cariesLancet.200736995555159https://doi.org/10.1016/S0140-6736(07)60031-2
5. Featherstone JDB, Chaffee BW. The evidence for Caries Management by Risk Assessment (CAMBRA®). Adv Dent Res. 2018; 29(1): 9-14. DOI: https://doi.org/10.1177/0022034517736500
JDB Featherstone BW Chaffee The evidence for Caries Management by Risk Assessment (CAMBRA®)Adv Dent Res.2018291914https://doi.org/10.1177/0022034517736500
6. Kutsch VK. Dental caries: an updated medical model of risk assessment. J Prosthet Dent. 2014; 111(4): 280-5. DOI: https://doi.org/10.1016/j.prosdent.2013.07.014
VK Kutsch Dental caries: an updated medical model of risk assessmentJ Prosthet Dent.20141114280285https://doi.org/10.1016/j.prosdent.2013.07.014
7. Paula AB, Fernandes AR, Coelho AS, Marto CM, Ferreira MM, Caramelo F, et al. Therapies for white spot lesions: a systematic review. J Evid Based Dent Pract. 2017: 17(1): 23-38. DOI: https://doi.org/10.1016/j.jebdp.2016.10.003
AB Paula AR Fernandes AS Coelho CM Marto MM Ferreira F Caramelo Therapies for white spot lesions: a systematic reviewJ Evid Based Dent Pract.20171712338https://doi.org/10.1016/j.jebdp.2016.10.003
8. Hujoel PP, Hujoel MLA, Kotsakis GA. Personal oral hygiene and dental caries: a systematic review of randomised controlled trials. Gerodontology. 2018; 35(4): 282-9. DOI: https://doi.org/10.1111/ger.12331
PP Hujoel MLA Hujoel GA Kotsakis Personal oral hygiene and dental caries: a systematic review of randomised controlled trialsGerodontology.2018354282289https://doi.org/10.1111/ger.12331
9. Schwendicke F, Dörfer CE, Schlattmann P, Foster Page L, Thomson WM, Paris S. Socioeconomic inequality and caries: a systematic review and meta-analysis. J Dent Res. 2015; 94(1): 10-8. DOI: https://doi.org/10.1177/0022034514557546
F Schwendicke CE Dörfer P Schlattmann L Foster Page WM Thomson S Paris Socioeconomic inequality and caries: a systematic review and meta-analysisJ Dent Res.20159411018https://doi.org/10.1177/0022034514557546
10. Sá-Pinto AC, Rego TM, Marques LS, Martins CC, Ramos-Jorge ML, Ramos-Jorge J. Association between malocclusion and dental caries in adolescents: a systematic review and meta-analysis. Eur Arch Paediatr Dent. 2018; 19(2): 73-82. DOI: https://doi.org/10.1007/s40368-018-0333-0
AC Sá-Pinto TM Rego LS Marques CC Martins ML Ramos-Jorge J Ramos-Jorge Association between malocclusion and dental caries in adolescents: a systematic review and meta-analysisEur Arch Paediatr Dent.20181927382https://doi.org/10.1007/s40368-018-0333-0
11. García Martínez A, Martínez Brito I, Ojeda Cabrera A, Rivero Llop ML. Publicaciones de autores cubanos sobre caries dental, período 2012-2015: un enfoque bibliométrico. Rev Med Electrón. 2016; 38(5): 666- 76.
A García Martínez I Martínez Brito A Ojeda Cabrera ML Rivero Llop Publicaciones de autores cubanos sobre caries dental, período 2012-2015: un enfoque bibliométricoRev Med Electrón.2016385666 76
13. Shamim T. Dental sciences related articles data published in a basic medical sciences journal from Iran. Data Brief. 2018; 17: 915-9. DOI: https://doi.org/10.1016/j.dib.2018.02.014
T Shamim Dental sciences related articles data published in a basic medical sciences journal from IranData Brief.201817915919https://doi.org/10.1016/j.dib.2018.02.014
14. Cleaton-Jones P, Fatti P, Bönecker M. Dental caries trends in 5- to 6-year-old and 11- to 13-year-old children in three UNICEF designated regions - Sub Saharan Africa, Middle East and North Africa, Latin America and Caribbean: 1970-2004. Int Dent J. 2006; 56(5): 294-300.
P Cleaton-Jones P Fatti M Bönecker Dental caries trends in 5- to 6-year-old and 11- to 13-year-old children in three UNICEF designated regions - Sub Saharan Africa, Middle East and North Africa, Latin America and Caribbean: 1970-2004Int Dent J.2006565294300
17. Ousehal L, El Aouame A, Fatene N, Lazrak L, Traiba L, N’Gom PI. Bibliometric study of articles on skeletal Class II malocclusions published in four high impact factor journals. Int Orthod. 2018; 16(2): 374-83. DOI: https://doi.org/10.1016/j.ortho.2018.03.011
L Ousehal A El Aouame N Fatene L Lazrak L Traiba PI N’Gom Bibliometric study of articles on skeletal Class II malocclusions published in four high impact factor journalsInt Orthod.2018162374383https://doi.org/10.1016/j.ortho.2018.03.011
18. Dávila Rodriguez M, Guzmán Saenz R, Macareno H, Herera Piñeres D, de la Rosa BD, Caballero Uribe CV. Bibliometría: Conceptos utilidades para el estudio médico y la formación profesional. Salud Uninorte. 2009; 25(2): 319-30.
M Dávila Rodriguez R Guzmán Saenz H Macareno D Herera Piñeres BD de la Rosa CV Caballero Uribe Bibliometría: Conceptos utilidades para el estudio médico y la formación profesionalSalud Uninorte.2009252319330
20. Waltman L, Noyons E. CWTS Meaningful metrics. Bibliometrics for research management and research evaluation a brief introduction. Netherlands: Universiteit Leiden. 2018. 14-24.
L Waltman E Noyons CWTS Meaningful metrics. Bibliometrics for research management and research evaluation a brief introductionNetherlandsUniversiteit Leiden20181424
21. Chen S-R, Chiu W-T, Ho YS. Asthma in children: mapping the literature by bibliometric analysis. Rev Française d’Allergologie d’Immunologie Clin. 2005; 45(6): 442-6. DOI: https://doi.org/10.1016/j.allerg.2005.08.002
S-R Chen W-T Chiu YS Ho Asthma in children: mapping the literature by bibliometric analysisRev Française d’Allergologie d’Immunologie Clin.2005456442446https://doi.org/10.1016/j.allerg.2005.08.002
23. Ellegaard O, Wallin JA. The bibliometric analysis of scholarly production: how great is the impact? Scientometrics. 2015; 105(3): 1809-31. DOI: https://doi.org/10.1007/s11192-015-1645-z
O Ellegaard JA Wallin The bibliometric analysis of scholarly production: how great is the impact?Scientometrics.2015105318091831https://doi.org/10.1007/s11192-015-1645-z
24. Adnan S, Ullah R. Top-cited articles in regenerative endodontics: a bibliometric analysis. J Endod. 2018; 44(11): 1650-64. DOI: https://doi.org/10.1016/j.joen.2018.07.015
S Adnan R Ullah Top-cited articles in regenerative endodontics: a bibliometric analysisJ Endod.2018441116501664https://doi.org/10.1016/j.joen.2018.07.015
25. Van Eck NJ, Waltman L, Dekker R, van den Berg J. A comparison of two techniques for bibliometric mapping: multidimensional scaling and VOS. J. Am. Soc. Inform. Sci. Technol. 2010; 61 (12): 2405- 16. DOI: https://doi.org/10.1002/asi.21421
NJ Van Eck L Waltman R Dekker J van den Berg A comparison of two techniques for bibliometric mapping: multidimensional scaling and VOSJ. Am. Soc. Inform. Sci. Technol.2010611224052 16https://doi.org/10.1002/asi.21421
26. Van Eck NJ, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics. 2010; 84(2): 523-38. DOI: https://doi.org/10.1007/s11192-009-0146-3
NJ Van Eck L Waltman Software survey: VOSviewer, a computer program for bibliometric mappingScientometrics.2010842523538https://doi.org/10.1007/s11192-009-0146-3
27. Waltman L, Jan Van Eck N, Noyons ECM. A unified approach to mapping and clustering of bibliometric networks. J Informetr. 2010; 4(4): 629-35. DOI: https://doi.org/10.1016/j.joi.2010.07.002
L Waltman N Jan Van Eck ECM Noyons A unified approach to mapping and clustering of bibliometric networksJ Informetr.201044629635https://doi.org/10.1016/j.joi.2010.07.002
28. Leydesdorff L, Bornmann L, Wagner CS. Generating clustered journal maps: an automated system for hierarchical classification. Scientometrics. 2017; 110(3): 1601-14. DOI: https://doi.org/10.1007/s11192-016-2226-5
L Leydesdorff L Bornmann CS Wagner Generating clustered journal maps: an automated system for hierarchical classificationScientometrics.2017110316011614https://doi.org/10.1007/s11192-016-2226-5
29. Van Nunen K, Li J, Reniers G, Ponnet K. Bibliometric analysis of safety culture research. Saf sci. 2018; 108: 248-58. DOI: https://doi.org/10.1016/j.ssci.2017.08.011
K Van Nunen J Li G Reniers K Ponnet Bibliometric analysis of safety culture researchSaf sci.2018108248258https://doi.org/10.1016/j.ssci.2017.08.011
30. Zheng X, Liu Y-J, Hu W-H, Huang H, Ni Y-P, Zhao H-N, et al. Bibliometrics study on the Journal of American College Health: 1994-2014. Chinese Nursing Research. 2017; 4(3): 133-40. DOI: https://doi.org/10.1016/j.cnre.2017.07.004
X Zheng Y-J Liu W-H Hu H Huang Y-P Ni H-N Zhao Bibliometrics study on the Journal of American College Health: 1994-2014Chinese Nursing Research.201743133140https://doi.org/10.1016/j.cnre.2017.07.004
31. Tscharntke T, Hochberg M, Rand TA, Resh VH, Krauss J. Author sequence and credit for contributions in multiauthored publications. PLoS Biol. 2007; 5(1): 18. DOI: https://doi.org/10.1371/journal.pbio.0050018
T Tscharntke M Hochberg TA Rand VH Resh J Krauss Author sequence and credit for contributions in multiauthored publicationsPLoS Biol.2007511818https://doi.org/10.1371/journal.pbio.0050018
32. Allen L, Scott J, Brand A, Hlava M, Altman M. Publishing: credit where credit is due. Nature. 2014; 508(7496): 312-3. DOI: https://doi.org/10.1038/508312a
L Allen J Scott A Brand M Hlava M Altman Publishing: credit where credit is dueNature.20145087496312313https://doi.org/10.1038/508312a
33. Kosmulski M. The order in the lists of authors in multi-author papers revisited. Journal of Informetrics. 2012; 6(4): 639-44. DOI: https://doi.org/10.1016/j.joi.2012.06.006
M Kosmulski The order in the lists of authors in multi-author papers revisitedJournal of Informetrics.201264639644https://doi.org/10.1016/j.joi.2012.06.006
34. Xie F, Ji M, Zhang Y, Huang D. The detection of community structure in network via an improved spectral method. Physica A. 2009; 388 (15-16): 3268-72. DOI: https://doi.org/10.1016/j.physa.2009.04.036
F Xie M Ji Y Zhang D Huang The detection of community structure in network via an improved spectral methodPhysica A.200938815-1632683272https://doi.org/10.1016/j.physa.2009.04.036
35. Haak L, Baker D, Hoellrigl T. CASRAI and ORCID: putting the pieces together to collaboratively support the research community. Procedia Computer Science. 2014; 33: 284- 8. DOI: https://doi.org/10.1016/j.procs.2014.06.045
L Haak D Baker T Hoellrigl CASRAI and ORCID: putting the pieces together to collaboratively support the research communityProcedia Computer Science.2014332842 8https://doi.org/10.1016/j.procs.2014.06.045
36. Wang N, Liang H, Jia Y, Ge S, Xue Y, Wang Z. Cloud computing research in the IS discipline: a citation/ co-citation analysis. Decision Support Systems. 2016; 86: 35-47. DOI: https://doi.org/10.1016/j.dss.2016.03.006
N Wang H Liang Y Jia S Ge Y Xue Z Wang Cloud computing research in the IS discipline: a citation/ co-citation analysisDecision Support Systems.2016863547https://doi.org/10.1016/j.dss.2016.03.006
37. Michalska-Smith MJ, Allesina S. And, not or: Quality, quantity in scientific publishing. PLoS One. 2017; 12(6): 1-12. DOI: https://doi.org/10.1371/journal.pone.0178074
MJ Michalska-Smith S Allesina And, not or: Quality, quantity in scientific publishingPLoS One.2017126112https://doi.org/10.1371/journal.pone.0178074
38. Clements J. Open access articles receive more citations in hybrid marine ecology journals. FACETS. 2017; 2: 1-14. DOI: https://doi.org/10.1139/facets-2016-0032
J Clements Open access articles receive more citations in hybrid marine ecology journalsFACETS20172114https://doi.org/10.1139/facets-2016-0032
39. Wang J, Veugelers R, Stephan P. Bias against novelty in science: A cautionary tale for users of bibliometric indicators. Res. policy. 2017; 46(8): 1416-36. DOI: https://doi.org/10.1016/j.respol.2017.06.006
J Wang R Veugelers P Stephan Bias against novelty in science: A cautionary tale for users of bibliometric indicatorsRes. policy.201746814161436https://doi.org/10.1016/j.respol.2017.06.006
40. Chua SK, Qureshi AM, Krishnan V, Pai DR, Kamal LB, Gunasegaran S, et al. The impact factor of an open access journal does not contribute to an article’s citations. F1000Res. 2017; 6: 208. DOI: https://doi.org/10.12688/f1000research.10892.1
SK Chua AM Qureshi V Krishnan DR Pai LB Kamal S Gunasegaran The impact factor of an open access journal does not contribute to an article’s citationsF1000Res.20176208208https://doi.org/10.12688/f1000research.10892.1
41. Li J, Reniers G, Cozzani V, Khan F. A bibliometric analysis of peer-reviewed publications on domino effects in the process industry. J Loss Prev Process Ind. 2017; 49: 103-10. DOI: https://doi.org/10.1016/j.jlp.2016.06.003
J Li G Reniers V Cozzani F Khan A bibliometric analysis of peer-reviewed publications on domino effects in the process industryJ Loss Prev Process Ind.201749103110https://doi.org/10.1016/j.jlp.2016.06.003
42. Kim HJ, Jeong YK, Song M. Content- and proximity-based author co-citation analysis using citation sentences. J Informetr. 2016; 10(4): 954-66. DOI: https://doi.org/10.1016/j.joi.2016.07.007
HJ Kim YK Jeong M Song Content- and proximity-based author co-citation analysis using citation sentencesJ Informetr.2016104954966https://doi.org/10.1016/j.joi.2016.07.007
43. Janssens F, Leta J, Glänzelb W, De Moor B. Towards mapping library and information science. Inf Process Manag. 2006; 42: 1614-42. DOI: https://doi.org/10.1016/j.ipm.2006.03.025
F Janssens J Leta W Glänzelb B De Moor Towards mapping library and information scienceInf Process Manag.20064216141642https://doi.org/10.1016/j.ipm.2006.03.025
44. Merigó J, Pedrycz W, Weber R, Sotta C Fifty years of information sciences: a bibliometric overview. Information Sciences. 2018; 432: p. 245-68. DOI: https://doi.org/10.1016/j.ins.2017.11.054
J Merigó W Pedrycz R Weber C Sotta Fifty years of information sciences: a bibliometric overviewInformation Sciences.2018432245268https://doi.org/10.1016/j.ins.2017.11.054
45. Kubek M, Unger H, Dusik J. Correlating words approaches and applications. In: conference: Computer Analysis of Images and Patterns CAIP, 2015. Valletta, Malta: Springer; 2015. p. 27-38.
M Kubek H Unger J Dusik Correlating words approaches and applications. In: conference: Computer Analysis of Images and Patterns CAIP, 2015Valletta, MaltaSpringer20152738