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Gene-set distance analysis (GSDA): a powerful tool for gene-set association analysis

Overview of attention for article published in BMC Bioinformatics, April 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Readers on

mendeley
12 Mendeley
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Title
Gene-set distance analysis (GSDA): a powerful tool for gene-set association analysis
Published in
BMC Bioinformatics, April 2021
DOI 10.1186/s12859-021-04110-x
Pubmed ID
Authors

Xueyuan Cao, Stan Pounds

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 33%
Student > Ph. D. Student 2 17%
Student > Doctoral Student 1 8%
Student > Postgraduate 1 8%
Unknown 4 33%
Readers by discipline Count As %
Computer Science 2 17%
Biochemistry, Genetics and Molecular Biology 2 17%
Environmental Science 1 8%
Agricultural and Biological Sciences 1 8%
Medicine and Dentistry 1 8%
Other 0 0%
Unknown 5 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 May 2021.
All research outputs
#7,502,830
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#2,928
of 7,400 outputs
Outputs of similar age
#162,373
of 435,865 outputs
Outputs of similar age from BMC Bioinformatics
#89
of 191 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 59% 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 435,865 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 191 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 50% of its contemporaries.