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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Probabilistic ancestry maps: a method to assess and visualize population substructures in genetics
|
|---|---|
| Published in |
BMC Bioinformatics, March 2019
|
| DOI | 10.1186/s12859-019-2680-1 |
| Pubmed ID | |
| Authors |
Héléna A. Gaspar, Gerome Breen |
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 Kingdom | 7 | 18% |
| United States | 7 | 18% |
| Portugal | 1 | 3% |
| Italy | 1 | 3% |
| Australia | 1 | 3% |
| Chile | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 21 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 70% |
| Scientists | 11 | 28% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 20% |
| Student > Master | 14 | 16% |
| Researcher | 11 | 12% |
| Student > Doctoral Student | 6 | 7% |
| Student > Bachelor | 6 | 7% |
| Other | 13 | 15% |
| Unknown | 21 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 25% |
| Agricultural and Biological Sciences | 15 | 17% |
| Medicine and Dentistry | 7 | 8% |
| Computer Science | 3 | 3% |
| Social Sciences | 3 | 3% |
| Other | 15 | 17% |
| Unknown | 24 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 19 April 2024.
All research outputs
#1,388,385
of 25,782,917 outputs
Outputs from BMC Bioinformatics
#158
of 7,746 outputs
Outputs of similar age
#31,848
of 367,177 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 165 outputs
Altmetric has tracked 25,782,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,746 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 367,177 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 91% of its contemporaries.
We're also able to compare this research output to 165 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 96% of its contemporaries.