Articles with impact: insights into 10 years of research with machine learning-Reference-Cited by-同舟云学术

Articles with impact: insights into 10 years of research with machine learning

Published:2020-10-01 Issue:4 Volume:129 Page:967-979
ISSN:8750-7587
Container-title:Journal of Applied Physiology
language:en
Short-container-title:Journal of Applied Physiology

Author:

van der Zwaard Stephan¹²^ORCID,de Leeuw Arie-Willem¹,Meerhoff L. (Rens) A.¹,Bodine Sue C.³,Knobbe Arno¹

Affiliation:

1. Leiden Institute of Advanced Computer Science, Universiteit Leiden, Leiden, the Netherlands

2. Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands

3. Department of Internal Medicine, Endocrinology and Metabolism, University of Iowa, Iowa City, Iowa

Abstract

Common measures of article impact are the Altmetric Attention Scores, number of downloads, and number of citations. To our knowledge, this is the first study that applies machine learning on a comprehensive collection of article characteristics to predict article attention scores, downloads, and citations. Using 10 years of research articles, we obtained accurate predictions of high-impact articles and discovered important article characteristics related to article impact.

Publisher

American Physiological Society

Subject

Physiology (medical),Physiology

Link

https://journals.physiology.org/doi/pdf/10.1152/japplphysiol.00489.2020

Reference107 articles.

1. Decreases in maximal oxygen uptake following long-duration spaceflight: Role of convective and diffusive O2 transport mechanisms

2. Impact Factor Distortions

3. Timed-daily ingestion of whey protein and exercise training reduces visceral adipose tissue mass and improves insulin resistance: the PRISE study

4. Commentaries on Viewpoint: V̇o2peak is an acceptable estimate of cardiorespiratory fitness but not V̇o2max

5. Dietary nitrate supplementation enhances muscle contractile efficiency during knee-extensor exercise in humans

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