Bias, coronavirus, nationality, gender and neurology article citation count prediction with machine learning

S. Bacchi; S. C. Teoh; L. Lam; D. Schultz; Robert J. Casson; W. Chan

doi:10.1016/j.neurop.2023.100115

Bias, coronavirus, nationality, gender and neurology article citation count prediction with machine learning

S. Bacchi, S. C. Teoh, L. Lam, D. Schultz, Robert J. Casson, W. Chan

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

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Abstract

Dear Editors,
The timely identification of impactful research, as may be indicated by citation count, may facilitate scientific advancement. It is possible that machine learning, including natural language processing, may be able to assist with this task. However, machine learning applications also have the potential to perpetuate biases, and this requires close examination.

One way in which machine learning may be applied to facilitate the research process is through the automatic analysis of abstracts...

Original language	English
Article number	100115
Number of pages	3
Journal	Neurology Perspectives
Volume	3
Issue number	1
DOIs	https://doi.org/10.1016/j.neurop.2023.100115
Publication status	Published - Jan 2023
Externally published	Yes

Keywords

Coronavirus
Academic publishing
Citations
Bias
Machine learning

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10.1016/j.neurop.2023.100115Licence: CC BY

Final published versionFinal published version, 455 KBLicence: CC BY

Cite this

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abstract = "Dear Editors,The timely identification of impactful research, as may be indicated by citation count, may facilitate scientific advancement. It is possible that machine learning, including natural language processing, may be able to assist with this task. However, machine learning applications also have the potential to perpetuate biases, and this requires close examination.One way in which machine learning may be applied to facilitate the research process is through the automatic analysis of abstracts...",

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AU - Schultz, D.

AU - Casson, Robert J.

AU - Chan, W.

PY - 2023/1

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N2 - Dear Editors,The timely identification of impactful research, as may be indicated by citation count, may facilitate scientific advancement. It is possible that machine learning, including natural language processing, may be able to assist with this task. However, machine learning applications also have the potential to perpetuate biases, and this requires close examination.One way in which machine learning may be applied to facilitate the research process is through the automatic analysis of abstracts...

AB - Dear Editors,The timely identification of impactful research, as may be indicated by citation count, may facilitate scientific advancement. It is possible that machine learning, including natural language processing, may be able to assist with this task. However, machine learning applications also have the potential to perpetuate biases, and this requires close examination.One way in which machine learning may be applied to facilitate the research process is through the automatic analysis of abstracts...

KW - Coronavirus

KW - Academic publishing

KW - Citations

KW - Bias

KW - Machine learning

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ER -

Bias, coronavirus, nationality, gender and neurology article citation count prediction with machine learning

Abstract

Keywords

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