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American Association for Cancer Research

Article Metrics

pVACtools: a computational toolkit to identify and visualize cancer neoantigens

Overview of attention for article published in Cancer Immunology Research, January 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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
35 tweeters

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
56 Mendeley
Title
pVACtools: a computational toolkit to identify and visualize cancer neoantigens
Published in
Cancer Immunology Research, January 2020
DOI 10.1158/2326-6066.cir-19-0401
Pubmed ID
Authors

Jasreet Hundal, Susanna Kiwala, Joshua McMichael, Christopher A Miller, Huiming Xia, Alexander T Wollam, Connor J Liu, Sidi Zhao, Yang-Yang Feng, Aaron P Graubert, Amber Z Wollam, Jonas Neichin, Megan Neveau, Jason Walker, William E Gillanders, Elaine R. Mardis, Obi L Griffith, Malachi Griffith

Twitter Demographics

The data shown below were collected from the profiles of 35 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Student > Master 9 16%
Researcher 8 14%
Other 6 11%
Student > Postgraduate 4 7%
Other 10 18%
Unknown 8 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 30%
Immunology and Microbiology 9 16%
Agricultural and Biological Sciences 7 13%
Medicine and Dentistry 5 9%
Engineering 3 5%
Other 6 11%
Unknown 9 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 17 February 2021.
All research outputs
#1,054,273
of 17,060,012 outputs
Outputs from Cancer Immunology Research
#96
of 1,083 outputs
Outputs of similar age
#37,210
of 389,628 outputs
Outputs of similar age from Cancer Immunology Research
#3
of 39 outputs
Altmetric has tracked 17,060,012 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,083 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. 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 389,628 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 90% of its contemporaries.
We're also able to compare this research output to 39 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 94% of its contemporaries.