SCIENTIFIC PRODUCTION ON DENTAL CARIES 2014–2018: A BIBLIOMETRIC STUDY IN WEB OF SCIENCE

  • Gustavo Jaimes Monroy Universidad Antonio Nariño http://orcid.org/0000-0003-3918-3679
  • Ángela Ivonne Valderrama Salgado Universidad Antonio Nariño
  • Elver Steven Prieto Cárdenas Universidad Antonio Nariño
  • Claudia Milena Rincón Bermúdez Universidad Antonio Nariño
Keywords: Bibliometrics, Dental caries, Statistics and numerical data, Dental research

Abstract

Introduction: the aim was to conduct a bibliometric study regarding the scientific production on dental caries in the period 2014–2018. Methods: a bibliometric study in a five-year period including 2,291 publications from the Web of Science database. The following variables were included: annual production of articles, journals, authors, cooperation, and citation analysis. Results: a sustained production of information has been conducted throughout the study years. Paiva, from Brazil, is the author with the largest number of publications (n = 33); the journal with the highest number of articles is Caries Research (n = 176). The United States and Brazil are the countries with the most publications on this topic. Conclusions: there is a sustained production of publications on dental caries, validating this topic and showing the importance of scientific groups conducting research in the fields of diagnosis, prevention, and public health mainly.

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Author Biographies

Gustavo Jaimes Monroy, Universidad Antonio Nariño

Graduate in Biology, Universidad Distrital Francisco José de Caldas. DDS, Universidad Nacional de Colombia. Specialist in Epidemiology, Universidad El Bosque. Master in Biochemistry, Universidad Nacional de Colombia. Universidad Antonio Nariño, School of Dentistry, Bogotá, Colombia. Universidad Antonio Nariño, Research Group in Oral Health. Escuela de Ciencias de la Salud (ECISA), Universidad Nacional Abierta y a Distancia (UNAD), Bogotá, Colombia.

Ángela Ivonne Valderrama Salgado, Universidad Antonio Nariño

DDS, Pontificia Universidad Javeriana, Bogotá, Colombia. Student of the Specialization in Orthodontics, Universidad Antonio Nariño, Bogotá, Colombia. Universidad Antonio Nariño, School of Dentistry, Bogotá, Colombia.

Elver Steven Prieto Cárdenas, Universidad Antonio Nariño

DDS, Fundación Universitaria San Martín, Bogotá, Colombia. Student of the Specialization in Orthodontics, Universidad Antonio Nariño, Bogotá, Colombia.  

Claudia Milena Rincón Bermúdez, Universidad Antonio Nariño

DDS, Universidad Nacional de Colombia. Specialist in Pediatric Stomatology and Maxillary Orthopedics, Universidad Nacional de Colombia. Master in Dental Sciences, Universidad El Bosque.

References

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

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

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

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

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

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

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

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

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

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

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.

Hunter, PB. The prevalence of dental caries in 12- and 13-year old New Zealand children in 1977 and 1982. N Z Dent J. 1984; 80(359): 16-8.

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

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.

Thomson Reuters. Whitepaper using bibliometrics: a guide to evaluating research performance with citation data. United States: Thompson Reuters, 2008.

Glänzel W. BiBliometric methods for detecting and analysing emerging research topics. El profesional de la información. 2012; 21(11): 194-201.

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

Dávila Rodriguez M, Guzmán Saenz R, MacarenoH, 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.

Godin B. On the origins of bibliometrics. Scientometrics. 2006; 68(1): 109-33.

Waltman L, Noyons E. CWTS Meaningful metrics. Bibliometrics for research management and research evaluation a brief introduction. Netherlands: Universiteit Leiden. 2018. 14-24.

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

Abramo G, D’Angelo CA. Evaluating research: from informed peer review to bibliometrics. Scientometrics. 2011; 87(3): 499-514.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

Published
2019-07-09
How to Cite
Jaimes Monroy, G., Valderrama Salgado, Ángela I., Prieto Cárdenas, E. S., & Rincón Bermúdez, C. M. (2019). SCIENTIFIC PRODUCTION ON DENTAL CARIES 2014–2018: A BIBLIOMETRIC STUDY IN WEB OF SCIENCE. Revista Facultad De Odontología Universidad De Antioquia, 31(1-2). https://doi.org/10.17533/udea.rfo.v31n1-2a7