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pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens

Overview of attention for article published in Cancer Immunology Research, March 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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
2 news outlets
twitter
34 tweeters
patent
1 patent

Citations

dimensions_citation
95 Dimensions

Readers on

mendeley
158 Mendeley
Summary News Twitter Patents Dimensions citations
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Title
pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens
Published in
Cancer Immunology Research, March 2020
DOI 10.1158/2326-6066.cir-19-0401
Pubmed ID
31907209
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

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 34 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 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 158 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 18%
Researcher 24 15%
Student > Master 20 13%
Other 11 7%
Student > Doctoral Student 9 6%
Other 26 16%
Unknown 39 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 45 28%
Agricultural and Biological Sciences 19 12%
Immunology and Microbiology 13 8%
Medicine and Dentistry 11 7%
Computer Science 10 6%
Other 17 11%
Unknown 43 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 23 March 2023.
All research outputs
#920,986
of 23,427,600 outputs
Outputs from Cancer Immunology Research
#91
of 1,437 outputs
Outputs of similar age
#23,459
of 361,566 outputs
Outputs of similar age from Cancer Immunology Research
#2
of 61 outputs
Altmetric has tracked 23,427,600 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,437 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done particularly well, scoring higher than 93% 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 361,566 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 61 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 96% of its contemporaries.

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