Abstract
Following the current trend of developing software as a service, we propose a software application to handle and support metric studies of information by applying the main laws of Bibliometrics, such as Lotka, Bradford, and Zipf, by means of integrating content and format in a single analysis process. Our application manages metrics according to the relevance of data, dispersion, rule of three and square root, in order to generate new indexes by relying on theories and laws already established among the scientific community. In addition, the developed tool has a pleasant aesthetic, along with a low cognitive effort for the user. To achieve such a scenario, a standardization of the interface combined with the fluidity of navigation within the application were used. The proposed application is suitable for those who work with academic and/or scientific issues, offering quick results compared to manual work, in which a lot of time is spent, either creating a system or analyzing spreadsheets. The result is a beta tool, available online at http://expertsbibliometrics.ufsc.br/, with login and password, respectively: ‘ebbc2020@ufsc.br’ and ‘trocar123’.
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References
Porter, A.L.; Cunningham, S.W.: Tech Mining: Exploiting New Technologies for Competitive Advantage. Wiley-Interscience (2004)
Bailón-Moreno, R.: Ingeniería del conocimiento y vigilancia tecnológica aplicada a la investigación en el campo de los tensio activos: desarrollo de un modelo cienciométrico unificado. Doctoral Tesis. Universidad de Granada, Granada (2003)
PNNL. IN-SPIRETM: Visual document analysis. U.S. Department Energy (2019). https://in-spire.pnnl.gov/index.stm. Accessed 07 Aug 2020
Clarivate Analytics. InCities Help (2020). http://help.incites.clarivate.com/inCites2Live/indicatorsGroup/aboutHandbook.html. Accessed 07 Aug 2020
Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., Herrera, F.: SciMAT: a new science mapping analysis software tool. J. Am. Soc. Inf. Sci. Technol. 63(8), 1609–1630 (2012). https://doi.org/10.1002/asi.22688. Accessed 07 Aug 2020
Chen, C.: CiteSpace II: detecting and visualizing emerging trends and transient patterns in scientific literature. J. Am. Soc. Inf. Sci. Technol. 57(3), 359–377 (2006)
Perssonl. O., Danell, R., Schneider, J.W.: How to use Bibexcel for various types of bibliometric analysis. ISSI Newslett. 5(1), 5–24 (2009). https://homepage.univie.ac.at/juan.gorraiz/bibexcel/ollepersson60.pdf. Accessed 07 Aug 2020
ELSEVIER. SciVal (2020). https://www.scival.com/landing. Accessed 07 Aug 2020
Linnemeier, M.: Science of Science (Sci2) tool manual (2014). http://sci2.wiki.cns.iu.edu. Accessed 07 Aug 2020
Harzing, A.W.: The Publish or Perish Book. Tarma Software Research Pty Ltd, Melbourne (2010)
Börner, K., Chen, C., Boyack, K.: Visualizing knowledge domains. Ann. Rev. Inf. Sci. Technol. 37(1), 179–255 (2003)
van Eck, N.J., Waltman, L.: VOS: a new method for visualizing similarities between objects. In: Decker, R., Lenz, Hans -J. (eds.) Advances in Data Analysis. SCDAKO, pp. 299–306. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-70981-7_34
Singh, N.: Complementing Bibliometrics with Network Visualization to Support Scientific Spheres. IFLA WLIC, Atenas (2019)
Lotka, A.J.: The frequency distribution of scientific productivity. J. Washington Acad. Sci. 16(12), 317–323 (1926)
Bradford, S.C.: Sources of information on specific subjects. Eng. Illustrated Weekly J. 137, 85–86 (1934)
Zipf, G.K.: Human Behaviour and The Principle of Least Effort. Addison-Wesley Press, Boston (1949)
Price, D.J.S.: Networks of scientific papers. Science 149(july), 510–515 (1965)
Platz, A.: Psychology of the scientist: XI Lotka’s law and research visibility. Psychol. Rep. 16(2), 566–568 (1965). https://doi.org/10.2466/pr0.1965.16.2.566. Accessed 07 Aug 2020
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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Pinto, A.L., de Aquino Silva, R., Dyck, A.F., Medeiros de Araújo, G., Dutra, M.L. (2021). Expert Bibliometrics: An Application Service for Metric Studies of Information. In: Bisset Álvarez, E. (eds) Data and Information in Online Environments. DIONE 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 378. Springer, Cham. https://doi.org/10.1007/978-3-030-77417-2_4
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DOI: https://doi.org/10.1007/978-3-030-77417-2_4
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