Cover image for Altmetrics for Research Outputs Measurement and Scholarly Information Management International Altmetrics Workshop, AROSIM 2018, Singapore, Singapore, January 26, 2018, Revised Selected Papers
Altmetrics for Research Outputs Measurement and Scholarly Information Management International Altmetrics Workshop, AROSIM 2018, Singapore, Singapore, January 26, 2018, Revised Selected Papers
Title:
Altmetrics for Research Outputs Measurement and Scholarly Information Management International Altmetrics Workshop, AROSIM 2018, Singapore, Singapore, January 26, 2018, Revised Selected Papers
Author:
Erdt, Mojisola. editor. (orcid)0000-0003-2371-6768
ISBN:
9789811310539
Physical Description:
XII, 125 p. 15 illus. online resource.
Series:
Communications in Computer and Information Science, 856
Contents:
Introduction to the Workshop on Altmetrics for Research Outputs Measurement and Scholarly Information Management (AROSIM 2018) -- Using Altmetrics to Support Research Evaluation -- Towards Greater Context for Altmetrics -- Monitoring the Broad Impact of the Journal Publication Output on Country Level: A Case Study for Austria -- New Dialog, New Services with Altmetrics: Lingnan University Library Experience -- How Do Scholars Evaluate and Promote Research Outputs? An NTU Case Study -- Scientific vs. Public Attention: A comparison of Top Cited Papers in WoS and Top Papers by Altmetric Score -- Field-weighting Readership: How Does It Compare to Field-weighting Citations -- A Comparative Investigation on Citation Counts and Altmetrics Between Papers Authored by Universities and Companies in the Research Field of Artificial Intelligence.
Abstract:
This book constitutes the refereed proceedings of the International Workshop on Altmetrics for Research Outputs Measurements and Scholarly Information Management, AROSIM 2018, held in Singapore, in January 2018. The 7 revised full papers presented together with two keynote papers and one introduction paper were carefully reviewed and selected from 20 submissions. The workshop will investigate how social media based metrics along with traditional and non-traditional metrics can advance the state-of-the-art in measuring research outputs.
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