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X Demographics
Mendeley readers
Attention Score in Context
| Title |
KIN: a method to infer relatedness from low-coverage ancient DNA
|
|---|---|
| Published in |
Genome Biology, January 2023
|
| DOI | 10.1186/s13059-023-02847-7 |
| Pubmed ID | |
| Authors |
Divyaratan Popli, Stéphane Peyrégne, Benjamin M. Peter |
X Demographics
The data shown below were collected from the profiles of 29 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 | 5 | 17% |
| Germany | 4 | 14% |
| Sweden | 4 | 14% |
| United States | 3 | 10% |
| Spain | 2 | 7% |
| Indonesia | 1 | 3% |
| Russia | 1 | 3% |
| India | 1 | 3% |
| Switzerland | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 7 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 20 | 69% |
| Members of the public | 9 | 31% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 19% |
| Researcher | 7 | 13% |
| Student > Bachelor | 5 | 9% |
| Student > Master | 3 | 6% |
| Other | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 25 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 19% |
| Agricultural and Biological Sciences | 7 | 13% |
| Arts and Humanities | 3 | 6% |
| Computer Science | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 27 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 25 July 2023.
All research outputs
#2,204,117
of 25,392,582 outputs
Outputs from Genome Biology
#1,832
of 4,470 outputs
Outputs of similar age
#45,901
of 472,300 outputs
Outputs of similar age from Genome Biology
#32
of 62 outputs
Altmetric has tracked 25,392,582 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 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 58% 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 472,300 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 90% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.