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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 (#40 of 1,592)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
16 news outlets
blogs
4 blogs
twitter
41 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
69 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 41 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 19%
Student > Ph. D. Student 10 14%
Student > Bachelor 7 10%
Student > Master 6 9%
Student > Doctoral Student 5 7%
Other 10 14%
Unknown 18 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 25%
Medicine and Dentistry 9 13%
Agricultural and Biological Sciences 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 4 6%
Engineering 4 6%
Other 11 16%
Unknown 20 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 152. 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
#272,094
of 25,498,750 outputs
Outputs from Genome Medicine
#40
of 1,592 outputs
Outputs of similar age
#8,011
of 454,391 outputs
Outputs of similar age from Genome Medicine
#3
of 56 outputs
Altmetric has tracked 25,498,750 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,592 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has done particularly well, scoring higher than 97% 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 454,391 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 56 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.