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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The pan-cancer landscape of prognostic germline variants in 10,582 patients
|
|---|---|
| Published in |
Genome Medicine, February 2020
|
| DOI | 10.1186/s13073-020-0718-7 |
| Pubmed ID | |
| Authors |
Ajay Chatrath, Roza Przanowska, Shashi Kiran, Zhangli Su, Shekhar Saha, Briana Wilson, Takaaki Tsunematsu, Ji-Hye Ahn, Kyung Yong Lee, Teressa Paulsen, Ewelina Sobierajska, Manjari Kiran, Xiwei Tang, Tianxi Li, Pankaj Kumar, Aakrosh Ratan, Anindya Dutta |
X Demographics
The data shown below were collected from the profiles of 15 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 | 5 | 33% |
| United Kingdom | 3 | 20% |
| Australia | 1 | 7% |
| Netherlands | 1 | 7% |
| Israel | 1 | 7% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 73% |
| Scientists | 3 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 15% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Master | 9 | 13% |
| Student > Bachelor | 6 | 9% |
| Student > Doctoral Student | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 19 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 30 | 44% |
| Agricultural and Biological Sciences | 5 | 7% |
| Medicine and Dentistry | 5 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Nursing and Health Professions | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 21 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 76. 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 05 January 2021.
All research outputs
#493,375
of 23,314,015 outputs
Outputs from Genome Medicine
#92
of 1,457 outputs
Outputs of similar age
#13,093
of 360,549 outputs
Outputs of similar age from Genome Medicine
#4
of 27 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,457 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has done particularly well, scoring higher than 93% 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 360,549 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 96% of its contemporaries.
We're also able to compare this research output to 27 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.