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Single-cell transcriptome analysis reveals TOX as a promoting factor for T cell exhaustion and a predictor for anti-PD-1 responses in human cancer

Overview of attention for article published in Genome Medicine, February 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

twitter
11 tweeters
wikipedia
1 Wikipedia page
f1000
1 research highlight platform

Citations

dimensions_citation
64 Dimensions

Readers on

mendeley
137 Mendeley
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Title
Single-cell transcriptome analysis reveals TOX as a promoting factor for T cell exhaustion and a predictor for anti-PD-1 responses in human cancer
Published in
Genome Medicine, February 2020
DOI 10.1186/s13073-020-00722-9
Pubmed ID
Authors

Kyungsoo Kim, Seyeon Park, Seong Yong Park, Gamin Kim, Su Myeong Park, Jae-Won Cho, Da Hee Kim, Young Min Park, Yoon Woo Koh, Hye Ryun Kim, Sang-Jun Ha, Insuk Lee

Twitter Demographics

The data shown below were collected from the profiles of 11 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 137 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 18%
Researcher 19 14%
Student > Ph. D. Student 14 10%
Student > Doctoral Student 13 9%
Student > Bachelor 12 9%
Other 18 13%
Unknown 36 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 24%
Immunology and Microbiology 20 15%
Medicine and Dentistry 15 11%
Agricultural and Biological Sciences 11 8%
Computer Science 4 3%
Other 12 9%
Unknown 42 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 11 March 2022.
All research outputs
#2,937,536
of 21,343,339 outputs
Outputs from Genome Medicine
#649
of 1,354 outputs
Outputs of similar age
#59,790
of 283,636 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 21,343,339 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,354 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.9. This one has gotten more attention than average, scoring higher than 51% 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 283,636 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them