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Multimodal genomic features predict outcome of immune checkpoint blockade in non-small-cell lung cancer

Overview of attention for article published in Nature Cancer, January 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
214 X users
patent
3 patents
facebook
1 Facebook page
reddit
1 Redditor

Citations

dimensions_citation
141 Dimensions

Readers on

mendeley
231 Mendeley
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Title
Multimodal genomic features predict outcome of immune checkpoint blockade in non-small-cell lung cancer
Published in
Nature Cancer, January 2020
DOI 10.1038/s43018-019-0008-8
Pubmed ID
Authors

Valsamo Anagnostou, Noushin Niknafs, Kristen Marrone, Daniel C. Bruhm, James R. White, Jarushka Naidoo, Karlijn Hummelink, Kim Monkhorst, Ferry Lalezari, Mara Lanis, Samuel Rosner, Joshua E. Reuss, Kellie N. Smith, Vilmos Adleff, Kristen Rodgers, Zineb Belcaid, Lamia Rhymee, Benjamin Levy, Josephine Feliciano, Christine L. Hann, David S. Ettinger, Christos Georgiades, Franco Verde, Peter Illei, Qing Kay Li, Alexander S. Baras, Edward Gabrielson, Malcolm V. Brock, Rachel Karchin, Drew M. Pardoll, Stephen B. Baylin, Julie R. Brahmer, Robert B. Scharpf, Patrick M. Forde, Victor E. Velculescu

X Demographics

X Demographics

The data shown below were collected from the profiles of 214 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 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 231 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 60 26%
Student > Ph. D. Student 31 13%
Other 16 7%
Student > Master 12 5%
Student > Bachelor 11 5%
Other 24 10%
Unknown 77 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 55 24%
Medicine and Dentistry 31 13%
Agricultural and Biological Sciences 28 12%
Immunology and Microbiology 11 5%
Computer Science 6 3%
Other 12 5%
Unknown 88 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 170. 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 18 October 2022.
All research outputs
#241,815
of 25,998,826 outputs
Outputs from Nature Cancer
#56
of 694 outputs
Outputs of similar age
#6,038
of 482,713 outputs
Outputs of similar age from Nature Cancer
#6
of 33 outputs
Altmetric has tracked 25,998,826 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 694 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 61.9. This one has done particularly well, scoring higher than 91% 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 482,713 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 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 81% of its contemporaries.