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Elucidating the role of TWIST1 in ulcerative colitis: a comprehensive bioinformatics and machine learning approach

Overview of attention for article published in Frontiers in Genetics, March 2024
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
4 Mendeley
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Title
Elucidating the role of TWIST1 in ulcerative colitis: a comprehensive bioinformatics and machine learning approach
Published in
Frontiers in Genetics, March 2024
DOI 10.3389/fgene.2024.1296570
Pubmed ID
Authors

Wenjie Ou, Zhaoxue Qi, Ning Liu, Junzi Zhang, Xuguang Mi, Yuan Song, Yanqiu Fang, Baiying Cui, Junjie Hou, Zhixin Yuan

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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Student > Doctoral Student 1 25%
Unknown 2 50%
Readers by discipline Count As %
Unspecified 1 25%
Engineering 1 25%
Unknown 2 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 March 2024.
All research outputs
#17,332,276
of 25,432,721 outputs
Outputs from Frontiers in Genetics
#6,203
of 13,713 outputs
Outputs of similar age
#79,215
of 155,033 outputs
Outputs of similar age from Frontiers in Genetics
#32
of 141 outputs
Altmetric has tracked 25,432,721 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,713 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 155,033 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.