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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Derivation of HLA types from shotgun sequence datasets
|
|---|---|
| Published in |
Genome Medicine, December 2012
|
| DOI | 10.1186/gm396 |
| Pubmed ID | |
| Authors |
René L Warren, Gina Choe, Douglas J Freeman, Mauro Castellarin, Sarah Munro, Richard Moore, Robert A Holt |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| Montenegro | 1 | 14% |
| South Africa | 1 | 14% |
| Austria | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
| Members of the public | 1 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| United Kingdom | 3 | 1% |
| Germany | 2 | <1% |
| Hungary | 2 | <1% |
| Korea, Republic of | 1 | <1% |
| Kenya | 1 | <1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| India | 1 | <1% |
| Other | 5 | 2% |
| Unknown | 222 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 61 | 25% |
| Student > Ph. D. Student | 56 | 23% |
| Student > Master | 26 | 11% |
| Other | 21 | 9% |
| Student > Postgraduate | 12 | 5% |
| Other | 34 | 14% |
| Unknown | 34 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 92 | 38% |
| Biochemistry, Genetics and Molecular Biology | 49 | 20% |
| Computer Science | 19 | 8% |
| Medicine and Dentistry | 16 | 7% |
| Immunology and Microbiology | 12 | 5% |
| Other | 12 | 5% |
| Unknown | 44 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 04 January 2024.
All research outputs
#1,653,292
of 26,017,215 outputs
Outputs from Genome Medicine
#358
of 1,612 outputs
Outputs of similar age
#13,942
of 292,886 outputs
Outputs of similar age from Genome Medicine
#2
of 25 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,612 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 well, scoring higher than 77% 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 292,886 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 particularly well, scoring higher than 92% of its contemporaries.