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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility
|
|---|---|
| Published in |
Genome Medicine, May 2021
|
| DOI | 10.1186/s13073-021-00904-z |
| Pubmed ID | |
| Authors |
Liuyang Wang, Thomas J. Balmat, Alejandro L. Antonia, Florica J. Constantine, Ricardo Henao, Thomas W. Burke, Andy Ingham, Micah T. McClain, Ephraim L. Tsalik, Emily R. Ko, Geoffrey S. Ginsburg, Mark R. DeLong, Xiling Shen, Christopher W. Woods, Elizabeth R. Hauser, Dennis C. Ko |
X Demographics
The data shown below were collected from the profiles of 24 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 | 46% |
| United Kingdom | 2 | 8% |
| Italy | 1 | 4% |
| Unknown | 10 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 63% |
| Members of the public | 8 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 16% |
| Student > Ph. D. Student | 16 | 16% |
| Student > Master | 9 | 9% |
| Student > Bachelor | 6 | 6% |
| Professor | 6 | 6% |
| Other | 8 | 8% |
| Unknown | 36 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 21 | 22% |
| Medicine and Dentistry | 12 | 12% |
| Nursing and Health Professions | 4 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 11 | 11% |
| Unknown | 43 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 06 June 2021.
All research outputs
#2,042,950
of 24,702,628 outputs
Outputs from Genome Medicine
#453
of 1,518 outputs
Outputs of similar age
#51,003
of 435,844 outputs
Outputs of similar age from Genome Medicine
#20
of 54 outputs
Altmetric has tracked 24,702,628 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,518 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one has gotten more attention than average, scoring higher than 70% 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 435,844 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 88% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.