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MHC-I genotype and tumor mutational burden predict response to immunotherapy

Overview of attention for article published in Genome Medicine, May 2020
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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 (82nd percentile)

Mentioned by

twitter
22 tweeters

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
39 Mendeley
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Title
MHC-I genotype and tumor mutational burden predict response to immunotherapy
Published in
Genome Medicine, May 2020
DOI 10.1186/s13073-020-00743-4
Pubmed ID
Authors

Aaron M. Goodman, Andrea Castro, Rachel Marty Pyke, Ryosuke Okamura, Shumei Kato, Paul Riviere, Garrett Frampton, Ethan Sokol, Xinlian Zhang, Edward D. Ball, Hannah Carter, Razelle Kurzrock

Twitter Demographics

The data shown below were collected from the profiles of 22 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 21%
Student > Ph. D. Student 5 13%
Student > Master 4 10%
Student > Doctoral Student 3 8%
Student > Bachelor 2 5%
Other 4 10%
Unknown 13 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 21%
Medicine and Dentistry 6 15%
Agricultural and Biological Sciences 4 10%
Immunology and Microbiology 4 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 1 3%
Unknown 14 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 05 January 2021.
All research outputs
#1,894,196
of 18,096,829 outputs
Outputs from Genome Medicine
#460
of 1,212 outputs
Outputs of similar age
#51,872
of 295,700 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 18,096,829 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,212 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.5. This one has gotten more attention than average, scoring higher than 61% 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 295,700 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% 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