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American Association for Cancer Research

Article Metrics

Prediction of Immunotherapy Response in Melanoma through Combined Modeling of Neoantigen Burden and Immune-Related Resistance Mechanisms

Overview of attention for article published in Clinical Cancer Research, August 2021
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
8 news outlets
twitter
13 tweeters

Readers on

mendeley
19 Mendeley
Title
Prediction of Immunotherapy Response in Melanoma through Combined Modeling of Neoantigen Burden and Immune-Related Resistance Mechanisms
Published in
Clinical Cancer Research, August 2021
DOI 10.1158/1078-0432.ccr-20-4314
Pubmed ID
Authors

Charles W. Abbott, Sean M. Boyle, Rachel Marty Pyke, Lee D. McDaniel, Eric Levy, Fábio C.P. Navarro, Dattatreya Mellacheruvu, Simo V. Zhang, Mengyao Tan, Rose Santiago, Zeid M. Rusan, Pamela Milani, Gabor Bartha, Jason Harris, Rena McClory, Michael P. Snyder, Sekwon Jang, Richard Chen

Twitter Demographics

The data shown below were collected from the profiles of 13 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 26%
Student > Bachelor 3 16%
Other 2 11%
Professor 1 5%
Student > Doctoral Student 1 5%
Other 2 11%
Unknown 5 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 26%
Agricultural and Biological Sciences 4 21%
Medicine and Dentistry 3 16%
Immunology and Microbiology 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 4 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 69. 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 03 October 2021.
All research outputs
#415,256
of 19,047,010 outputs
Outputs from Clinical Cancer Research
#253
of 11,619 outputs
Outputs of similar age
#11,004
of 330,552 outputs
Outputs of similar age from Clinical Cancer Research
#14
of 183 outputs
Altmetric has tracked 19,047,010 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,619 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. 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 330,552 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 96% of its contemporaries.
We're also able to compare this research output to 183 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 92% of its contemporaries.