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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exome-wide analysis of copy number variation shows association of the human leukocyte antigen region with asthma in UK Biobank
|
|---|---|
| Published in |
BMC Medical Genomics, May 2022
|
| DOI | 10.1186/s12920-022-01268-y |
| Pubmed ID | |
| Authors |
Katherine A. Fawcett, German Demidov, Nick Shrine, Megan L. Paynton, Stephan Ossowski, Ian Sayers, Louise V. Wain, Edward J. Hollox |
X Demographics
The data shown below were collected from the profiles of 12 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 Kingdom | 6 | 50% |
| Israel | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 50% |
| Scientists | 4 | 33% |
| Practitioners (doctors, other healthcare professionals) | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 25% |
| Student > Master | 2 | 17% |
| Professor > Associate Professor | 2 | 17% |
| Student > Ph. D. Student | 1 | 8% |
| Unknown | 4 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 33% |
| Agricultural and Biological Sciences | 2 | 17% |
| Medicine and Dentistry | 2 | 17% |
| Unknown | 4 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 14 June 2022.
All research outputs
#4,942,825
of 25,807,758 outputs
Outputs from BMC Medical Genomics
#315
of 2,459 outputs
Outputs of similar age
#102,474
of 445,719 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 47 outputs
Altmetric has tracked 25,807,758 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,459 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 87% 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 445,719 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 76% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.