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A mutation-based gene set predicts survival benefit after immunotherapy across multiple cancers and reveals the immune response landscape

Overview of attention for article published in Genome Medicine, February 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
10 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
43 Mendeley
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Title
A mutation-based gene set predicts survival benefit after immunotherapy across multiple cancers and reveals the immune response landscape
Published in
Genome Medicine, February 2022
DOI 10.1186/s13073-022-01024-y
Pubmed ID
Authors

Junyu Long, Dongxu Wang, Anqiang Wang, Peipei Chen, Yu Lin, Jin Bian, Xu Yang, Mingjun Zheng, Haohai Zhang, Yongchang Zheng, Xinting Sang, Haitao Zhao

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 14%
Student > Ph. D. Student 5 12%
Other 3 7%
Professor > Associate Professor 3 7%
Student > Master 3 7%
Other 4 9%
Unknown 19 44%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 16%
Medicine and Dentistry 6 14%
Immunology and Microbiology 3 7%
Unspecified 2 5%
Business, Management and Accounting 2 5%
Other 4 9%
Unknown 19 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 10 August 2023.
All research outputs
#1,218,269
of 24,267,449 outputs
Outputs from Genome Medicine
#246
of 1,500 outputs
Outputs of similar age
#30,186
of 433,336 outputs
Outputs of similar age from Genome Medicine
#8
of 33 outputs
Altmetric has tracked 24,267,449 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,500 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one has done well, scoring higher than 83% 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 433,336 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 93% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.