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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Large-scale public data reuse to model immunotherapy response and resistance
|
|---|---|
| Published in |
Genome Medicine, February 2020
|
| DOI | 10.1186/s13073-020-0721-z |
| Pubmed ID | |
| Authors |
Jingxin Fu, Karen Li, Wubing Zhang, Changxin Wan, Jing Zhang, Peng Jiang, X. Shirley Liu |
X Demographics
The data shown below were collected from the profiles of 79 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 | 38 | 48% |
| United Kingdom | 6 | 8% |
| Spain | 3 | 4% |
| Germany | 2 | 3% |
| Canada | 2 | 3% |
| Hong Kong | 2 | 3% |
| Mexico | 1 | 1% |
| Japan | 1 | 1% |
| Colombia | 1 | 1% |
| Other | 5 | 6% |
| Unknown | 18 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 41 | 52% |
| Members of the public | 34 | 43% |
| Practitioners (doctors, other healthcare professionals) | 3 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 141 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 21% |
| Student > Ph. D. Student | 27 | 19% |
| Student > Master | 12 | 9% |
| Student > Postgraduate | 9 | 6% |
| Student > Bachelor | 7 | 5% |
| Other | 15 | 11% |
| Unknown | 42 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 30 | 21% |
| Agricultural and Biological Sciences | 18 | 13% |
| Medicine and Dentistry | 12 | 9% |
| Immunology and Microbiology | 11 | 8% |
| Computer Science | 9 | 6% |
| Other | 14 | 10% |
| Unknown | 47 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 53. 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 15 May 2023.
All research outputs
#803,165
of 25,556,408 outputs
Outputs from Genome Medicine
#147
of 1,596 outputs
Outputs of similar age
#20,407
of 383,975 outputs
Outputs of similar age from Genome Medicine
#4
of 25 outputs
Altmetric has tracked 25,556,408 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 1,596 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has done particularly well, scoring higher than 90% 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 383,975 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 94% 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 has done well, scoring higher than 88% of its contemporaries.