|
Academic/Biomedical Research
News & Jobs
|
|
|
|
|
|
|
|
|
|
|
|
|
Free Newsletters
Archive
My Subscriptions

News by Subject
News by Disease
News by Date
PLoS
Search News
Post Your News
JoVE

Job Seeker Login
Most Recent Jobs
Search Jobs
Post Resume
Career Fairs
Career Resources
For Employers

Regional News
US & Canada
Biotech Bay
Biotech Beach
Genetown
Pharm Country
BioCapital
BioMidwest
Bio NC
BioForest
Southern Pharm
BioCanada East
US Device
Europe
Asia


Company Profiles

Research Store

Research Events
Post an Event

Real Estate
Business Opportunities
|
|
|
|
|
PLoS By Category | Recent
PLoS Articles
|
|
Computer Science - Science Policy
|
Scholarometer: A Social Framework for Analyzing Impact across Disciplines
Published:
Wednesday, September 12, 2012
Author:
Jasleen Kaur et al.
by Jasleen Kaur, Diep Thi Hoang, Xiaoling Sun, Lino Possamai, Mohsen JafariAsbagh, Snehal Patil, Filippo Menczer
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.
More...
|
|
|
 |
 |
|
|
|
|
|
|
|
|