A comparative investigation on citation counts and altmetrics between papers authored by top universities and companies in the research field of artificial intelligence

Artificial Intelligence is currently a popular research field. With the development of deep learning techniques, researchers in this area have achieved impressive results in a variety of tasks. In this initial study, we explored scientific papers in Artificial Intelligence, making comparisons betwee...

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Main Authors: Luo, Feiheng, Zheng, Han, Erdt, Mojisola, Sesagiri Raamkumar, Aravind, Theng, Yin-Leng
Format: Conference or Workshop Item
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/79727
http://hdl.handle.net/10220/45086
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-797272020-03-07T12:15:48Z A comparative investigation on citation counts and altmetrics between papers authored by top universities and companies in the research field of artificial intelligence Luo, Feiheng Zheng, Han Erdt, Mojisola Sesagiri Raamkumar, Aravind Theng, Yin-Leng Erdt, Mojisola Sesagiri Raamkumar, Aravind Rasmussen, Edie Theng, Yin-Leng Wee Kim Wee School of Communication and Information AROSIM 2018: Altmetrics for Research Outputs Measurement and Scholarly Information Management Centre for Healthy and Sustainable Cities (CHESS) Citation Analysis Altmetrics Artificial Intelligence is currently a popular research field. With the development of deep learning techniques, researchers in this area have achieved impressive results in a variety of tasks. In this initial study, we explored scientific papers in Artificial Intelligence, making comparisons between papers authored by the top universities and companies from the dual perspectives of bibliometrics and altmetrics. We selected publication venues according to the venue rankings provided by Google Scholar and Scopus, and retrieved related papers along with their citation counts from Scopus. Altmetrics such as Altmetric Attention Scores and Mendeley reader counts were collected from Altmetric.com and PlumX. Top universities and companies were identified, and the retrieved papers were classified into three groups accordingly: university-authored papers, company-authored papers, and co-authored papers. Comparative results showed that university-authored papers received slightly higher citation counts than company-authored papers, while company-authored papers gained considerably more attention online. In addition, when we focused on the most impactful papers, i.e., the papers with the highest numbers of citation counts, and the papers with the largest amount of online attention, companies seemed to make a larger contribution by publishing more impactful papers than universities. NRF (Natl Research Foundation, S’pore) Accepted version 2018-07-16T08:00:01Z 2019-12-06T13:32:52Z 2018-07-16T08:00:01Z 2019-12-06T13:32:52Z 2018 Conference Paper Luo, F., Zheng, H., Erdt, M., Sesagiri Raamkumar, A., & Theng, Y.-L. (2018). A comparative investigation on citation counts and altmetrics between papers authored by top universities and companies in the research field of artificial intelligence. AROSIM 2018: Altmetrics for Research Outputs Measurement and Scholarly Information Management, 105-114. https://hdl.handle.net/10356/79727 http://hdl.handle.net/10220/45086 10.1007/978-981-13-1053-9_9 en © 2018 Springer Nature Singapore Pte Ltd. This is the author created version of a work that has been peer reviewed and accepted for publication by AROSIM 2018: Altmetrics for Research Outputs Measurement and Scholarly Information Management, Springer Nature Singapore Pte Ltd. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1007/978-981-13-1053-9_9]. 10 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Citation Analysis
Altmetrics
spellingShingle Citation Analysis
Altmetrics
Luo, Feiheng
Zheng, Han
Erdt, Mojisola
Sesagiri Raamkumar, Aravind
Theng, Yin-Leng
A comparative investigation on citation counts and altmetrics between papers authored by top universities and companies in the research field of artificial intelligence
description Artificial Intelligence is currently a popular research field. With the development of deep learning techniques, researchers in this area have achieved impressive results in a variety of tasks. In this initial study, we explored scientific papers in Artificial Intelligence, making comparisons between papers authored by the top universities and companies from the dual perspectives of bibliometrics and altmetrics. We selected publication venues according to the venue rankings provided by Google Scholar and Scopus, and retrieved related papers along with their citation counts from Scopus. Altmetrics such as Altmetric Attention Scores and Mendeley reader counts were collected from Altmetric.com and PlumX. Top universities and companies were identified, and the retrieved papers were classified into three groups accordingly: university-authored papers, company-authored papers, and co-authored papers. Comparative results showed that university-authored papers received slightly higher citation counts than company-authored papers, while company-authored papers gained considerably more attention online. In addition, when we focused on the most impactful papers, i.e., the papers with the highest numbers of citation counts, and the papers with the largest amount of online attention, companies seemed to make a larger contribution by publishing more impactful papers than universities.
author2 Erdt, Mojisola
author_facet Erdt, Mojisola
Luo, Feiheng
Zheng, Han
Erdt, Mojisola
Sesagiri Raamkumar, Aravind
Theng, Yin-Leng
format Conference or Workshop Item
author Luo, Feiheng
Zheng, Han
Erdt, Mojisola
Sesagiri Raamkumar, Aravind
Theng, Yin-Leng
author_sort Luo, Feiheng
title A comparative investigation on citation counts and altmetrics between papers authored by top universities and companies in the research field of artificial intelligence
title_short A comparative investigation on citation counts and altmetrics between papers authored by top universities and companies in the research field of artificial intelligence
title_full A comparative investigation on citation counts and altmetrics between papers authored by top universities and companies in the research field of artificial intelligence
title_fullStr A comparative investigation on citation counts and altmetrics between papers authored by top universities and companies in the research field of artificial intelligence
title_full_unstemmed A comparative investigation on citation counts and altmetrics between papers authored by top universities and companies in the research field of artificial intelligence
title_sort comparative investigation on citation counts and altmetrics between papers authored by top universities and companies in the research field of artificial intelligence
publishDate 2018
url https://hdl.handle.net/10356/79727
http://hdl.handle.net/10220/45086
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