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X Demographics
Mendeley readers
Attention Score in Context
| 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 |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 27% |
| Italy | 2 | 18% |
| United Kingdom | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 165 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 16% |
| Student > Master | 25 | 15% |
| Student > Ph. D. Student | 17 | 10% |
| Student > Bachelor | 13 | 8% |
| Student > Doctoral Student | 13 | 8% |
| Other | 16 | 10% |
| Unknown | 55 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 40 | 24% |
| Immunology and Microbiology | 21 | 13% |
| Medicine and Dentistry | 16 | 10% |
| Agricultural and Biological Sciences | 14 | 8% |
| Computer Science | 3 | 2% |
| Other | 9 | 5% |
| Unknown | 62 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 April 2024.
All research outputs
#3,205,865
of 25,770,491 outputs
Outputs from Genome Medicine
#715
of 1,612 outputs
Outputs of similar age
#69,302
of 384,224 outputs
Outputs of similar age from Genome Medicine
#13
of 25 outputs
Altmetric has tracked 25,770,491 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one has gotten more attention than average, scoring higher than 55% 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 384,224 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 81% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.