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iTTCA-RF: a random forest predictor for tumor T cell antigens

Overview of attention for article published in Journal of Translational Medicine, October 2021
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
21 Mendeley
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Title
iTTCA-RF: a random forest predictor for tumor T cell antigens
Published in
Journal of Translational Medicine, October 2021
DOI 10.1186/s12967-021-03084-x
Pubmed ID
Authors

Shihu Jiao, Quan Zou, Huannan Guo, Lei Shi

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 14%
Student > Ph. D. Student 3 14%
Student > Master 2 10%
Researcher 2 10%
Student > Bachelor 1 5%
Other 2 10%
Unknown 8 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 19%
Unspecified 3 14%
Arts and Humanities 1 5%
Sports and Recreations 1 5%
Medicine and Dentistry 1 5%
Other 1 5%
Unknown 10 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 October 2021.
All research outputs
#15,686,478
of 23,310,485 outputs
Outputs from Journal of Translational Medicine
#2,303
of 4,114 outputs
Outputs of similar age
#250,378
of 440,630 outputs
Outputs of similar age from Journal of Translational Medicine
#39
of 78 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,114 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 440,630 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.