Keywords
Theses
Dissertations
Citation
Download
Submitted : 2023-06-25
Accepted : 2023-07-10
Published : 2023-07-25
Abstract
Bibliometric indicators contribute to the understanding of science as a whole, supporting the decision-making process of funding agencies, research and development and postgraduate programs. There are different bibliometric indicators, among them, the rates of citations and downloads. It happens that, sometimes, correlation is attributed to these two indices. This study aims to evaluate, in the light of theses and dissertations registered in the Brazilian Digital Library of Theses and Dissertations of the Brazilian Institute of Information in Science and Technology, whether there is a correspondence between the number of citations and downloads, considering the context of the scientific production of the programs of Information Science in Brazil. Therefore, a research with a quantitative methodological approach is adopted, with bibliometrics and descriptive statistics technique for data analysis. The study found that the number of theses and dissertations downloads is much higher than the number of citations. However, from the data presented, it is not possible to say that theses and dissertations with the highest number of downloads are those with the highest number of citations. Likewise, it is not possible to say that the most cited theses and dissertations are the most sought after in the Brazilian Digital Library of Theses and Dissertations.
References
Moreira JR, Mueller SPM, Vilan Filho JL, 2020, Scientific Production of Members of Research Groups in Information Science Areas in Brazil. Informação & Informação, 25(1): 1–20. http://doi.org/10.5433/1981-8920.2020v25n1p1
Vilan Filho JL, Arruda RV, Perucchi V, 2012, Analysis of Citations to Brazilian Scientific Journals in the Information Science Fields. Em Questão, 18(3): 115–127.
Brentani RR, Cruz CHB, Suzigan W, et al., 2011, Science, Technology & Innovation Indicators in the State of São Paulo 2010, FAPESP, São Paulo.
Guerrero-Bote VP, Moya-Anego’n F, 2014, Relationship Between Downloads and Citations at Journal and Paper Levels, and the Influence of Language. Scientometrics, 101: 1043–1065. http://doi.org/10.1007/s11192-014-1243-5
Melo, BKSB, 2014, Scientific Communication Flow in the Field of Information Science in Brazil: Analysis of Scientific Production Related to Theses Defended from 2008 to 2010, monograph, University of Brasília.
Laville C, Dionne J. The Construction of Knowledge: Manual of Research Methodology in Human Sciences. Artmed, Porto Alegre, 337.
Meadows AJ, 1999, Communicating Research, Briquet de Lemos Livros, Brasília.
Targino MG, 2000, Scientific Communication: A Review of Its Basic Elements. Informação & Sociedade, 10(2).
Barba BM, 2003, Bibliometric Indicators: Fundamentals and Application in Science Analysis, Trea, Gijon.
Maricato JM, Martins DL, 2017, Altmetrics: Complexities, Challenges and New Forms of Measurement and Understanding of Scientific Communication in the Social Web. Biblios, 68: 48–68. http://doi.org/10.5195/biblios.2017.358
Darmoni SJ, Roussel F, Bénichou J, et al., 2000, Reading Factor as a Credible Alternative to Impact Factor: A Preliminary Study. Technology and Health Care, 8(3–4):174–175.
Bollen J, Sompel HV, Hagbert A, et al., 2009, A Principal Component Analysis of 39 Scientific Impact Measures. PLoS ONE, 4(6): e6022. http://doi.org/10.1371/journal.pone.0006022
Schloegl C, Gorraiz J, 2011, Global Usage Versus Global Citation Metrics: The Case of Pharmacology Journals. Journal of the American Society for Information Science and Technology, 62(1): 161–170. http://doi.org/10.1002/asi.21420
Mugnaini R, Carvalho T, Campanatti-Ortiz H, (eds) 2006, Indicators of Scientific Production: A Conceptual Discussion, in Communication and Scientific Production: Context and Evaluation. Angellara, São Paulo, 313–340.
Moreira JR, Vilan Filho JL, Mueller SPM, 2015, Characteristics and Scientific Production of CNPq/DGP Research Groups in the Areas of Information Science and Museology (1992-2012). Perspectivas em Ciência da Informação, 20: 93–106. http://doi.org/10.1590/1981-5344/2460
Santos RNM, 2003, Scientific Production: Why Measure? What to Measure?. Revista Digital de Biblioteconomia e Ciência da Informação, Campinas, 1(1): 22–38. http://doi.org/10.20396/rdbci.v1i1.2087