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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluating the transcriptional fidelity of cancer models
|
|---|---|
| Published in |
Genome Medicine, April 2021
|
| DOI | 10.1186/s13073-021-00888-w |
| Pubmed ID | |
| Authors |
Da Peng, Rachel Gleyzer, Wen-Hsin Tai, Pavithra Kumar, Qin Bian, Bradley Isaacs, Edroaldo Lummertz da Rocha, Stephanie Cai, Kathleen DiNapoli, Franklin W. Huang, Patrick Cahan |
X Demographics
The data shown below were collected from the profiles of 40 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 | 11 | 28% |
| United Kingdom | 3 | 8% |
| France | 1 | 3% |
| South Africa | 1 | 3% |
| Australia | 1 | 3% |
| Japan | 1 | 3% |
| Italy | 1 | 3% |
| Sweden | 1 | 3% |
| Unknown | 20 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 73% |
| Scientists | 9 | 23% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 19% |
| Student > Ph. D. Student | 10 | 14% |
| Student > Bachelor | 7 | 10% |
| Student > Master | 6 | 9% |
| Student > Doctoral Student | 5 | 7% |
| Other | 9 | 13% |
| Unknown | 20 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 24% |
| Medicine and Dentistry | 9 | 13% |
| Agricultural and Biological Sciences | 4 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 6% |
| Engineering | 4 | 6% |
| Other | 10 | 14% |
| Unknown | 22 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 151. 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 02 September 2021.
All research outputs
#275,030
of 25,591,967 outputs
Outputs from Genome Medicine
#41
of 1,599 outputs
Outputs of similar age
#8,084
of 455,370 outputs
Outputs of similar age from Genome Medicine
#4
of 56 outputs
Altmetric has tracked 25,591,967 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,599 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done particularly well, scoring higher than 97% 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 455,370 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 98% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.