Utilize este identificador para referenciar este registo: http://hdl.handle.net/10451/13857
Título: Citation Impact Discerning Self-Citation: Improving User Interaction
Autor: Sousa, Tiago Alberto Paiva de
Orientador: Veríssimo, Paulo Jorge Esteves
Couto, Francisco M
Palavras-chave: Impact
Data de Defesa: 2011
Resumo: CIDS (Citation Impact Discerning Self-Citation) is a web tool that uses Google Scholar as publication database, to calculate citation impact. Others databases also exist, such as Scopus and Web of Science, but their lower coverage is inferior than Google Scholar, so CIDS uses the latter. Many metrics were proposed to measure citation impact, such as h-index and g-index. These metrics take in account a set of publications, usually belonging to just one author, and, in case of h-index and g-index, outputs a single discrete number. This number is a quantitative measure of citation impact. To automate multiple metrics calculus, several tools were developed, such as HPP, Microsoft Academic and CIDS. CIDS differentiates itself from the others, by discerning self-citations. This means that, all metrics mentioned before are calculated with and without discerning self-citations. Self-citation occurs when at least one of the publication’s authors is also author of the cited publication. Previous CIDS, albeit faster than its predecessor and making possible publication filtration, did not allow a user to have more than one citation impact result, that is, if the user had two groups of publications and wanted citation impact calculated for each one, it was not possible. It also does not allow filtering citations of publications, group management (add, edit and remove members of groups) nor it works on Internet Explorer, a popular web browser. My work objective was a new CIDS version that overcomes some of its problems described above and with more functionalities than its predecessor. These new functionalities consisted in assigning an private area to the user for his queries, user having more control over his final results, help the user in repetitive tasks by detecting patterns in usage, fix CIDS to run in all browsers (cross-browser compatibility). Previous CIDS’s team functionality would also be renew, helping the the user performing group analysis. Even though some of the functionalities mentioned - cross-browser compatibility and the help on repetitive tasks.- were not implemented, the rest of the functionality was and, in my opinion, made CIDS a better tool to be used.
URI: http://hdl.handle.net/10451/13857
Aparece nas colecções:FC-DI - Master Thesis (dissertation)

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