Scholarometer: A Social Framework for Analyzing Impact across Disciplines

被引:26
作者
Kaur, Jasleen [1 ]
Diep Thi Hoang [1 ,2 ]
Sun, Xiaoling [1 ,3 ]
Possamai, Lino [1 ,4 ]
JafariAsbagh, Mohsen [1 ]
Patil, Snehal [1 ]
Menczer, Filippo [1 ]
机构
[1] Indiana Univ, Sch Informat & Comp, Ctr Complex Networks & Syst Res, Bloomington, IN 47405 USA
[2] Vietnam Natl Univ, Univ Engn & Technol, Hanoi, Vietnam
[3] Dalian Univ Technol, Dept Comp Sci & Technol, Dalian, Peoples R China
[4] Univ Padua, Dept Pure & Appl Math, Padua, Italy
基金
美国国家科学基金会;
关键词
D O I
10.1371/journal.pone.0043235
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
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.
引用
收藏
页数:13
相关论文
共 24 条
[1]
h-Index: A review focused in its variants, computation and standardization for different scientific fields [J].
Alonso, S. ;
Cabrerizo, F. J. ;
Herrera-Viedma, E. ;
Herrera, F. .
JOURNAL OF INFORMETRICS, 2009, 3 (04) :273-289
[2]
[Anonymous], 2008, WSDM, DOI DOI 10.1145/1341531.1341558
[3]
The social bookmark and publication management system bibsonomy A platform for evaluating and demonstrating Web 2.0 research [J].
Benz, Dominik ;
Hotho, Andreas ;
Jaeschke, Robert ;
Krause, Beate ;
Mitzlaff, Folke ;
Schmitz, Christoph ;
Stumme, Gerd .
VLDB JOURNAL, 2010, 19 (06) :849-875
[4]
Linked Data - The Story So Far [J].
Bizer, Christian ;
Heath, Tom ;
Berners-Lee, Tim .
INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS, 2009, 5 (03) :1-22
[5]
Theory and practise of the g-index [J].
Egghe, Leo .
SCIENTOMETRICS, 2006, 69 (01) :131-152
[6]
GRAPH DRAWING BY FORCE-DIRECTED PLACEMENT [J].
FRUCHTERMAN, TMJ ;
REINGOLD, EM .
SOFTWARE-PRACTICE & EXPERIENCE, 1991, 21 (11) :1129-1164
[7]
Usage patterns of collaborative tagging systems [J].
Golder, SA ;
Huberman, BA .
JOURNAL OF INFORMATION SCIENCE, 2006, 32 (02) :198-208
[8]
Harzing, 1997, PUBLISH PERISH
[9]
An index to quantify an individual's scientific research output [J].
Hirsch, JE .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (46) :16569-16572
[10]
Hoang D., 2010, P WEB SCI C EXT FRON