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Machine Learning for Cancer Immunotherapies Based on Epitope Recognition by T Cell Receptors

Overview of attention for article published in Frontiers in Genetics, November 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
4 X users
facebook
1 Facebook page

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
142 Mendeley
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Title
Machine Learning for Cancer Immunotherapies Based on Epitope Recognition by T Cell Receptors
Published in
Frontiers in Genetics, November 2019
DOI 10.3389/fgene.2019.01141
Pubmed ID
Authors

Anja Mösch, Silke Raffegerst, Manon Weis, Dolores J. Schendel, Dmitrij Frishman

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 142 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 15%
Researcher 21 15%
Student > Master 15 11%
Student > Bachelor 15 11%
Other 11 8%
Other 14 10%
Unknown 44 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 19%
Immunology and Microbiology 16 11%
Computer Science 12 8%
Medicine and Dentistry 12 8%
Agricultural and Biological Sciences 11 8%
Other 20 14%
Unknown 44 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 December 2019.
All research outputs
#13,877,324
of 23,923,788 outputs
Outputs from Frontiers in Genetics
#3,108
of 12,753 outputs
Outputs of similar age
#221,915
of 461,809 outputs
Outputs of similar age from Frontiers in Genetics
#123
of 347 outputs
Altmetric has tracked 23,923,788 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,753 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 73% 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 461,809 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 347 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.