Scholarometer: a social framework for analyzing impact across disciplines.

The use of quantitative metrics to gauge the impact of scholarly publications, authors, and disciplines is predicated on the availability of reliable usage and annotation data. Citation and download counts are widely available from digital libraries. However, current annotation systems rely on propr...

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Autores principales: Jasleen Kaur, Diep Thi Hoang, Xiaoling Sun, Lino Possamai, Mohsen Jafariasbagh, Snehal Patil, Filippo Menczer
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2012
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Acceso en línea:https://doaj.org/article/14b939efd06541b0a02c30ca5044e6d3
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spelling oai:doaj.org-article:14b939efd06541b0a02c30ca5044e6d32021-11-18T07:05:57ZScholarometer: a social framework for analyzing impact across disciplines.1932-620310.1371/journal.pone.0043235https://doaj.org/article/14b939efd06541b0a02c30ca5044e6d32012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22984414/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203The use of quantitative metrics to gauge the impact of scholarly publications, authors, and disciplines is predicated on the availability of reliable usage and annotation data. Citation and download counts are widely available from digital libraries. However, current annotation systems rely on proprietary labels, refer to journals but not articles or authors, and are manually curated. To address these limitations, we propose a social framework based on crowdsourced annotations of scholars, designed to keep up with the rapidly evolving disciplinary and interdisciplinary landscape. We describe a system called Scholarometer, which provides a service to scholars by computing citation-based impact measures. This creates an incentive for users to provide disciplinary annotations of authors, which in turn can be used to compute disciplinary metrics. We first present the system architecture and several heuristics to deal with noisy bibliographic and annotation data. We report on data sharing and interactive visualization services enabled by Scholarometer. Usage statistics, illustrating the data collected and shared through the framework, suggest that the proposed crowdsourcing approach can be successful. Secondly, we illustrate how the disciplinary bibliometric indicators elicited by Scholarometer allow us to implement for the first time a universal impact measure proposed in the literature. Our evaluation suggests that this metric provides an effective means for comparing scholarly impact across disciplinary boundaries.Jasleen KaurDiep Thi HoangXiaoling SunLino PossamaiMohsen JafariasbaghSnehal PatilFilippo MenczerPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 9, p e43235 (2012)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Jasleen Kaur
Diep Thi Hoang
Xiaoling Sun
Lino Possamai
Mohsen Jafariasbagh
Snehal Patil
Filippo Menczer
Scholarometer: a social framework for analyzing impact across disciplines.
description The use of quantitative metrics to gauge the impact of scholarly publications, authors, and disciplines is predicated on the availability of reliable usage and annotation data. Citation and download counts are widely available from digital libraries. However, current annotation systems rely on proprietary labels, refer to journals but not articles or authors, and are manually curated. To address these limitations, we propose a social framework based on crowdsourced annotations of scholars, designed to keep up with the rapidly evolving disciplinary and interdisciplinary landscape. We describe a system called Scholarometer, which provides a service to scholars by computing citation-based impact measures. This creates an incentive for users to provide disciplinary annotations of authors, which in turn can be used to compute disciplinary metrics. We first present the system architecture and several heuristics to deal with noisy bibliographic and annotation data. We report on data sharing and interactive visualization services enabled by Scholarometer. Usage statistics, illustrating the data collected and shared through the framework, suggest that the proposed crowdsourcing approach can be successful. Secondly, we illustrate how the disciplinary bibliometric indicators elicited by Scholarometer allow us to implement for the first time a universal impact measure proposed in the literature. Our evaluation suggests that this metric provides an effective means for comparing scholarly impact across disciplinary boundaries.
format article
author Jasleen Kaur
Diep Thi Hoang
Xiaoling Sun
Lino Possamai
Mohsen Jafariasbagh
Snehal Patil
Filippo Menczer
author_facet Jasleen Kaur
Diep Thi Hoang
Xiaoling Sun
Lino Possamai
Mohsen Jafariasbagh
Snehal Patil
Filippo Menczer
author_sort Jasleen Kaur
title Scholarometer: a social framework for analyzing impact across disciplines.
title_short Scholarometer: a social framework for analyzing impact across disciplines.
title_full Scholarometer: a social framework for analyzing impact across disciplines.
title_fullStr Scholarometer: a social framework for analyzing impact across disciplines.
title_full_unstemmed Scholarometer: a social framework for analyzing impact across disciplines.
title_sort scholarometer: a social framework for analyzing impact across disciplines.
publisher Public Library of Science (PLoS)
publishDate 2012
url https://doaj.org/article/14b939efd06541b0a02c30ca5044e6d3
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AT linopossamai scholarometerasocialframeworkforanalyzingimpactacrossdisciplines
AT mohsenjafariasbagh scholarometerasocialframeworkforanalyzingimpactacrossdisciplines
AT snehalpatil scholarometerasocialframeworkforanalyzingimpactacrossdisciplines
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