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Evaluating the transcriptional fidelity of cancer models

Overview of attention for article published in Genome Medicine, April 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#28 of 1,354)
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

news
16 news outlets
blogs
4 blogs
twitter
45 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Evaluating the transcriptional fidelity of cancer models
Published in
Genome Medicine, April 2021
DOI 10.1186/s13073-021-00888-w
Pubmed ID
Authors

Da Peng, Rachel Gleyzer, Wen-Hsin Tai, Pavithra Kumar, Qin Bian, Bradley Isaacs, Edroaldo Lummertz da Rocha, Stephanie Cai, Kathleen DiNapoli, Franklin W. Huang, Patrick Cahan

Twitter Demographics

The data shown below were collected from the profiles of 45 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Student > Bachelor 7 17%
Researcher 7 17%
Student > Doctoral Student 3 7%
Student > Master 3 7%
Other 2 5%
Unknown 11 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 31%
Medicine and Dentistry 5 12%
Computer Science 3 7%
Engineering 3 7%
Agricultural and Biological Sciences 2 5%
Other 6 14%
Unknown 10 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 158. 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 02 September 2021.
All research outputs
#189,240
of 21,343,339 outputs
Outputs from Genome Medicine
#28
of 1,354 outputs
Outputs of similar age
#5,758
of 337,926 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 21,343,339 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,354 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.9. This one has done particularly well, scoring higher than 98% 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 337,926 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them