2020, Number 2
<< Back Next >>
Revista Cubana de Información en Ciencias de la Salud (ACIMED) 2020; 31 (2)
Bibliometric analysis of the international scientific production about saliva
Juárez RP
Language: Spanish
References: 46
Page: 1-22
PDF size: 724.37 Kb.
ABSTRACT
The purpose of the study was to analyze the international scientific panorama concerning research about saliva between the years 2000 and 2018. An observational descriptive retrospective quantitative study was conducted of the data based on bibliometric document analysis. PubMed and Dentistry & Oral Sciences Source were selected as important online bibliometric databases to search for and retrieve documents. All the data presented in the study were analyzed with the following software: VOSviewer, Publish or Perish, Mendeley Desktop and SPSS version 19 for Windows. Descriptive and inferential statistical methods were used. The two databases exhibited differences in the number of documents between the periods 2000-2009 and 2010-2018 (p < 0.05). A total 38 969 documents were recorded in PubMed. Granger, from the USA, was the most productive author (0.45%). The topics most commonly discussed had to do with metabolism (44.70%) and chemistry (37.71%) in relation to stress (9.51%), salivary glands (4.65%) and cancer (3.50%). A total 6 621 documents were recorded in Dentistry & Oral Sciences Source. Attin, a Swiss-German, was the most productive author (0.86%). Dental caries (11.20%), saliva analysis (9.41%) and periodontal disease (5.89%) were the diagnostic topics most commonly dealt with. During the study period an increase occurred in international research about saliva. However, the scope of multicenter studies was lesser than expected, given the huge load of world health problems related to several chemical components of saliva.
REFERENCES
Carpenter GH. The secretion, components and properties of saliva. Annu Rev Food Sci Technol. 2013;4(1):267-76.
Dawes C, Pedersen AM, Villa A, Ekström J, Proctor GB, Vissink A, et al. The functions of human saliva: A review sponsored by the World Workshop on Oral Medicine VI. Arch Oral Biol. 2015;60(6):863-74.
Castagnola M, Scarano E, Passali GC, Messana I, Cabras T, Iavarone F, et al. Salivary biomarkers and proteomics: future diagnostic and clinical utilities. Acta Otorhinolaryngol Ital. 2017;37(2):94-101.
Ai J, Smith B, Wong DT. Saliva Ontology: An ontology-based framework for a salivaomics knowledge base. BMC Bioinformatics. 2010 [acceso: 05/12/2019];11(302):[aprox. 8 p.]. Disponible en: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-11-302
Shah S. Salivaomics: The current scenario. J Oral Maxillofac Pathol. 2018;22(3):375-81.
Keiser J, Utzinger J. Trends in the core literature on tropical medicine: A bibliometric analysis from 1952-2002. Scienometrics. 2005;62(3):351-65.
Pu QH, Lyu QJ, Su HY. Bibliometric analysis of scientific publications in transplantation journals from Mainland China, Japan, South Korea and Taiwan between 2006 and 2015. BMJ Open. 2016;6(8):e011623.
Trifan A, Stanciu C, Jurcau M, Zenovia S, Frunzuc G, Timofte D. Nonalcoholic steatohepatitis: A scientometric analysis of publications during 1980-2018. Medicine (Baltimore). 2019;98(50):e18221.
Nasli-Esfahani E, Farzadfar F, Kouhnavard M, Ghodssi-Ghassemabadi R, Khajavi A, Peimani M, et al. Iran diabetes research roadmap (IDRR) study: a preliminary study on diabetes research in the world and Iran. J Diabetes Metab Disord. 2017 [acceso: 08/12/2019];16(9): [aprox. 5 p.]. Disponible en: Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5316224/
Juárez RP, Barrere RM. Estudio bibliométrico de la producción científica argentina en cáncer a través de las bases de datos Medline y Lilacs. Córdoba: Rev Salud Públ. 2017;21(2):31-42.
Tarazona B, Vidal IA, Alonso AA. Bibliometric analysis of the scientific production in implantology (2009-2013). Clin Oral Implants Res. 2017;28(7):864-70.
Zhang Q, Yue Y, Shi B, Yuan Z. A bibliometric analysis of Cleft Lip and Palate-related publication trends from 2000 to 2017. Cleft Palate Craniofac J. 2019;56(5):658-69.
Juárez RP. Análisis histórico-bibliométrico de la producción científica sobre saliva en Medline y EBSCOhost durante el período 1827-1949. REDI. 2019 [acceso: 09/12/2019]; 2(1): [aprox. 17 p.]. Disponible en: http://odn.unne.edu.ar/redi/publicaciones/2/1_5.pdf
van Raan AFJ. For your citations only? Hot topics in bibliometric analysis. Measurement. 2005;3(1):50-62.
Zhang W, Yuan H. A bibliometric analysis of energy performance contracting research from 2008 to 2018. Sustainability. 2019;11(13):3548.
Zhou F, Guo HC, Ho YS, Wu CZ. Scientometric analysis of geostatistics using multivariate methods. Scienomtrics. 2007;73(3):265-79.
Lavis JN, Posada FB, Haines A, Osei E. Use of research to inform public policymaking. Lancet. 2004;364(9445):1615-21.
Wang Y, Wang Q, Zhu R, Yang C, Chen Z, Bai Y, et al. Trends of spinal tuberculosis research (1994-2015): a bibliometric study. Medicine. 2016;95(38):e4923
Song J, Zhang H, Dong H. A review of emerging trends in global PPP research, analysis and visualization. Scienomtrics. 2016;107(3):1111-47.
van Eck NJ, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scienometrics. 2010;84(2):523-38.
Bazm S, Bazm R, Sardari F. Growth of health literacy research activity in three Middle Eastern countries. BMJ Health Care Inform. 2019 [acceso: 12/12/2019];26(1):e000027 [aprox. 6 p.]. Disponible en: https://informatics.bmj.com/content/bmjhci/26/1/e000027.full.pdf
Moodley J, Singh V, Kagina BM, Abdullahi L, Hussey GD. A bibliometric analysis of cancer research in South Africa: study protocol. BMJ Open. 2015;5(2):006913.
Sweileh WM. Bibliometric analysis of peer-reviewed literature in transgender. BMC Int Health Hum Rights. 2018 [acceso: 14/12/2019];18(16):[aprox. 11 p.]. Disponible en: https://bmcinthealthhumrights.biomedcentral.com/articles/10.1186/s12914-018-0155-5
EE.UU. National Library of Medicine. National Center for Biotechnology Information. EE.UU. National Library of Medicine; 2020 [acceso:10/01/20]. Disponible en: https://www.ncbi.nlm.nih.gov/pubmed/
Javaid MA, Ahmed AS, Durand R, Tran SD. Saliva as a diagnostic tool for oral and systemic diseases. J Oral Biol Craniofac Res. 2016;6(1):66-75.
Price JDS. Diseases of science. Yale University Press;1975. p. 161-95.
Pena-Cristóbal M, Diniz-Freitas M, Monteiro L, Diz Dios P, Warnakulasuriya S. The 100 most cited articles on oral cancer. J Oral Pathol Med. 2018;47(4):333-44.
Foy JP, Bertolus C, Goudot P, Deneuve S, Blanc E, Lasset C, et al. Bibliometric analysis of a century of research on oral erythroplakia and leukoplakia. J Oral Pathol Med. 2018;47(4):388-95.
Red de Indicadores de Ciencia y Tecnología. Iberoamericana e Interamericana: Indicadores por país (contexto y recursos financieros I+D). Buenos Aires: RICYT; 2020 [acceso: 11/01/20]. Disponible en: http://www.ricyt.org/2010/07/porpais/
Kramer PF, Onetto J, Flores MT, Borges TS, Feldens CA. Traumatic dental injuries in the primary dentition: a 15-year bibliometric analysis of Dental Traumatology. Dent Traumatol. 2016;32(5):341-6.
Nadanovsky P. Growth in brazilian scientific output in public health dentistry. Cad Saúde Públ. 2006;22(5):886-7.
Gonçalves APR, Porto BL, Rodolfo B, Faggion Jr CM, Agostini BA, Sousa-Neto MD, et al. Brazilian articles in top-tier dental journals and influence of international collaboration on citation rates. Braz Dent J. 2019;30(4):307-16.
Scimago Journal & Country Rank. Country Ranking. [Internet]. España: Scimago Lab; 2020 [acceso: 13/01/20]. Disponible en: http://www.scimagojr.com
Red de Indicadores de Ciencia y Tecnología. Iberoamericana e Interamericana. [Internet]. Indicadores comparativos bibliométricos. Buenos Aires: RICYT; 2020 [acceso:14/01/20]. Disponible en: http://www.ricyt.org/2010/09/comparativos/
Puljak L, Vari SG. Significance of research networking for enhancing collaboration and research productivity. Croat Med J. 2014;55(3):181-3.
Shaw IF. Research networking and collaboration: a case study. Qual Inq. 2018;25(9-10): 1128-36.
Lotka AJ. The frequency distribution of scientific productivity. J Wash Acad Sci. 1926;16(12):317-23.
Baghaei Lakeh A, Ghaffarzadegan N. Global trends and regional variations in studies of HIV/AIDS. Sci Rep. 2017 [acceso:15/01/20];7(4170):[aprox. 4 p.]. Disponible en: https://www.nature.com/articles/s41598-017-04527-6
Urbizagastegui Alvarado R, Restrepo Arango C. Modelando la distribución del número de co-autores por artículo. Investig Bibl. 2011;25(53):103-19.
Dhar V. Evidence-based dentistry: An overview. Contemp Clin Dent. 2016;7(3):293-4.
Irving SY, Curley MA. Challenges to conducting multicenter clinical research: ten points to consider. AACN Adv Crit Care. 2008;19:164-9.
Sprague S, Matta JM, Bhandari M. Multicenter Collaboration in Observational Research: Improving Generalizability and Efficiency. J Bone Joint Surg Am. 2009;91(Suppl 3):80-6.
Jayaratne YS, Zwahlen RA. The evolution of dental journals from 2003 to 2012: a bibliometric analysis. PLoS One. 2015;10(3):e0119503.
Kanavakis G, Dombroski MM, Malouf DP, Athanasiou AE. Demographic characteristics of systematic reviews, meta-analyses, and randomized controlled trials in orthodontic journals with impact factor. Eur J Orthod. 2016;38(1):57-65.
Knowledge, networks and nations: Global scientific collaboration in the 21st century. [Internet]. London: The Royal Society; 2011 [acceso 19/01/2020]. Disponible en: Disponible en: https://royalsociety.org/topics-policy/projects/knowledge-networks-nations/report/
Wang X, Kaczor-Urbanowicz KE, Wong DT. Salivary biomarkers in cancer detection. Med Oncol. 2017 [acceso: 20/01/20];34(1):[aprox. 10 p.].