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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genomic targets for high-resolution inference of kinship, ancestry and disease susceptibility in orang-utans (genus: Pongo)
|
|---|---|
| Published in |
BMC Genomics, December 2020
|
| DOI | 10.1186/s12864-020-07278-3 |
| Pubmed ID | |
| Authors |
Graham L. Banes, Emily D. Fountain, Alyssa Karklus, Hao-Ming Huang, Nian-Hong Jang-Liaw, Daniel L. Burgess, Jennifer Wendt, Cynthia Moehlenkamp, George F. Mayhew |
X Demographics
The data shown below were collected from the profiles of 5 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 | 3 | 60% |
| Germany | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 27% |
| Other | 3 | 20% |
| Lecturer | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Student > Postgraduate | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 5 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 3 | 20% |
| Environmental Science | 2 | 13% |
| Agricultural and Biological Sciences | 2 | 13% |
| Linguistics | 1 | 7% |
| Immunology and Microbiology | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 5 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 27 October 2021.
All research outputs
#7,063,616
of 23,267,128 outputs
Outputs from BMC Genomics
#3,217
of 10,736 outputs
Outputs of similar age
#175,356
of 508,622 outputs
Outputs of similar age from BMC Genomics
#57
of 187 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 10,736 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 69% 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 508,622 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 187 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 69% of its contemporaries.