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Leveraging TCGA gene expression data to build predictive models for cancer drug response

Overview of attention for article published in BMC Bioinformatics, September 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
23 Mendeley
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Title
Leveraging TCGA gene expression data to build predictive models for cancer drug response
Published in
BMC Bioinformatics, September 2020
DOI 10.1186/s12859-020-03690-4
Pubmed ID
Authors

Clayton, Evan A., Pujol, Toyya A., McDonald, John F., Qiu, Peng

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 30%
Researcher 6 26%
Student > Ph. D. Student 3 13%
Student > Doctoral Student 1 4%
Professor 1 4%
Other 1 4%
Unknown 4 17%
Readers by discipline Count As %
Computer Science 6 26%
Biochemistry, Genetics and Molecular Biology 5 22%
Medicine and Dentistry 4 17%
Psychology 1 4%
Agricultural and Biological Sciences 1 4%
Other 1 4%
Unknown 5 22%

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 28 December 2020.
All research outputs
#5,690,148
of 18,038,980 outputs
Outputs from BMC Bioinformatics
#2,414
of 6,341 outputs
Outputs of similar age
#125,496
of 319,413 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 49 outputs
Altmetric has tracked 18,038,980 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 6,341 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 60% 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 319,413 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 60% of its contemporaries.
We're also able to compare this research output to 49 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 69% of its contemporaries.