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

Feiheng Luo; Han Zheng; Mojisola Erdt; Aravind Sesagiri Raamkumar; Yin Leng Theng

doi:10.1007/978-981-13-1053-9_9

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

Feiheng Luo, Han Zheng, Mojisola Erdt, Aravind Sesagiri Raamkumar^*, Yin Leng Theng

^*Corresponding author for this work

Nanyang Technological University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Altmetrics for Research Outputs Measurement and Scholarly Information Management - International Altmetrics Workshop, AROSIM 2018, Revised Selected Papers
Editors	Mojisola Erdt, Yin-Leng Theng, Aravind Sesagiri Raamkumar, Edie Rasmussen
Publisher	Springer Verlag
Pages	105-114
Number of pages	10
ISBN (Print)	9789811310522
DOIs	https://doi.org/10.1007/978-981-13-1053-9_9
Publication status	Published - 2018
Externally published	Yes
Event	International Workshop on Altmetrics for Research Outputs Measurement and Scholarly Information Management, AROSIM 2018 - Singapore, Singapore Duration: Jan 26 2018 → Jan 26 2018

Publication series

Name	Communications in Computer and Information Science
Volume	856
ISSN (Print)	1865-0929

Conference

Conference	International Workshop on Altmetrics for Research Outputs Measurement and Scholarly Information Management, AROSIM 2018
Country/Territory	Singapore
City	Singapore
Period	1/26/18 → 1/26/18

Bibliographical note

Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2018.

ASJC Scopus Subject Areas

General Computer Science
General Mathematics

Keywords

Academic research
Altmetrics
Citation analysis
Industrial research

Access to Document

10.1007/978-981-13-1053-9_9

Cite this

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. In M. Erdt, Y.-L. Theng, A. Sesagiri Raamkumar, & E. Rasmussen (Eds.), Altmetrics for Research Outputs Measurement and Scholarly Information Management - International Altmetrics Workshop, AROSIM 2018, Revised Selected Papers (pp. 105-114). (Communications in Computer and Information Science; Vol. 856). Springer Verlag. https://doi.org/10.1007/978-981-13-1053-9_9

Luo, Feiheng ; Zheng, Han ; Erdt, Mojisola et al. / A Comparative investigation on citation counts and altmetrics between papers authored by top universities and companies in the research field of artificial intelligence. Altmetrics for Research Outputs Measurement and Scholarly Information Management - International Altmetrics Workshop, AROSIM 2018, Revised Selected Papers. editor / Mojisola Erdt ; Yin-Leng Theng ; Aravind Sesagiri Raamkumar ; Edie Rasmussen. Springer Verlag, 2018. pp. 105-114 (Communications in Computer and Information Science).

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title = "A Comparative investigation on citation counts and altmetrics between papers authored by top universities and companies in the research field of artificial intelligence",

abstract = "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.",

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Luo, F, Zheng, H, Erdt, M, Sesagiri Raamkumar, A & Theng, YL 2018, A Comparative investigation on citation counts and altmetrics between papers authored by top universities and companies in the research field of artificial intelligence. in M Erdt, Y-L Theng, A Sesagiri Raamkumar & E Rasmussen (eds), Altmetrics for Research Outputs Measurement and Scholarly Information Management - International Altmetrics Workshop, AROSIM 2018, Revised Selected Papers. Communications in Computer and Information Science, vol. 856, Springer Verlag, pp. 105-114, International Workshop on Altmetrics for Research Outputs Measurement and Scholarly Information Management, AROSIM 2018, Singapore, Singapore, 1/26/18. https://doi.org/10.1007/978-981-13-1053-9_9

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 et al.
Altmetrics for Research Outputs Measurement and Scholarly Information Management - International Altmetrics Workshop, AROSIM 2018, Revised Selected Papers. ed. / Mojisola Erdt; Yin-Leng Theng; Aravind Sesagiri Raamkumar; Edie Rasmussen. Springer Verlag, 2018. p. 105-114 (Communications in Computer and Information Science; Vol. 856).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A Comparative investigation on citation counts and altmetrics between papers authored by top universities and companies in the research field of artificial intelligence

AU - Luo, Feiheng

AU - Zheng, Han

AU - Erdt, Mojisola

AU - Sesagiri Raamkumar, Aravind

AU - Theng, Yin Leng

N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd. 2018.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

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Luo F, Zheng H, Erdt M, Sesagiri Raamkumar A, Theng YL. A Comparative investigation on citation counts and altmetrics between papers authored by top universities and companies in the research field of artificial intelligence. In Erdt M, Theng YL, Sesagiri Raamkumar A, Rasmussen E, editors, Altmetrics for Research Outputs Measurement and Scholarly Information Management - International Altmetrics Workshop, AROSIM 2018, Revised Selected Papers. Springer Verlag. 2018. p. 105-114. (Communications in Computer and Information Science). doi: 10.1007/978-981-13-1053-9_9

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

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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