Research Article
Expert Bibliometrics: An Application Service for Metric Studies of Information
@INPROCEEDINGS{10.1007/978-3-030-77417-2_4, author={Adilson Luiz Pinto and Rog\^{e}rio de Aquino Silva and Andr\^{e} Fabiano Dyck and Gustavo Medeiros de Ara\^{u}jo and Mois\^{e}s Lima Dutra}, title={Expert Bibliometrics: An Application Service for Metric Studies of Information}, proceedings={Data and Information in Online Environments. Second EAI International Conference, DIONE 2021, Virtual Event, March 10--12, 2021, Proceedings}, proceedings_a={DIONE}, year={2021}, month={6}, keywords={Bibliometric software Metric studies application Lotka application Bradford application Zipf application}, doi={10.1007/978-3-030-77417-2_4} }- Adilson Luiz Pinto
Rogério de Aquino Silva
André Fabiano Dyck
Gustavo Medeiros de Araújo
Moisés Lima Dutra
Year: 2021
Expert Bibliometrics: An Application Service for Metric Studies of Information
DIONE
Springer
DOI: 10.1007/978-3-030-77417-2_4
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 athttp://expertsbibliometrics.ufsc.br/, with login and password, respectively: ‘ebbc2020@ufsc.br’ and ‘trocar123’.
