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Integrated Multichip Analysis Identifies Potential Key Genes in the Pathogenesis of Nonalcoholic Steatohepatitis

Overview of attention for article published in Frontiers in endocrinology, November 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
10 Mendeley
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Title
Integrated Multichip Analysis Identifies Potential Key Genes in the Pathogenesis of Nonalcoholic Steatohepatitis
Published in
Frontiers in endocrinology, November 2020
DOI 10.3389/fendo.2020.601745
Pubmed ID
Authors

Jianzhong Ye, Yishuai Lin, Qing Wang, Yating Li, Yajie Zhao, Lijiang Chen, Qing Wu, Chunquan Xu, Cui Zhou, Yao Sun, Wanchun Ye, Fumao Bai, Tieli Zhou

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 3 30%
Researcher 2 20%
Student > Bachelor 1 10%
Professor > Associate Professor 1 10%
Unknown 3 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 40%
Pharmacology, Toxicology and Pharmaceutical Science 1 10%
Medicine and Dentistry 1 10%
Unknown 4 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 December 2020.
All research outputs
#16,148,389
of 25,519,924 outputs
Outputs from Frontiers in endocrinology
#3,984
of 13,176 outputs
Outputs of similar age
#290,737
of 520,644 outputs
Outputs of similar age from Frontiers in endocrinology
#80
of 230 outputs
Altmetric has tracked 25,519,924 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,176 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 67% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 520,644 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 230 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.