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X Demographics
Mendeley readers
Attention Score in Context
| Title |
RelateAdmix: a software tool for estimating relatedness between admixed individuals
|
|---|---|
| Published in |
Bioinformatics, November 2013
|
| DOI | 10.1093/bioinformatics/btt652 |
| Pubmed ID | |
| Authors |
Ida Moltke, Anders Albrechtsen |
| Abstract |
Pairwise relatedness plays an important role in a range of genetic research fields. However, currently only few estimators exist for individuals that are admixed, i.e. have ancestry from more than one population, and these estimators fail in some situations. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 17% |
| India | 1 | 17% |
| United Kingdom | 1 | 17% |
| Italy | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Uruguay | 1 | 1% |
| France | 1 | 1% |
| Korea, Republic of | 1 | 1% |
| Unknown | 71 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 24% |
| Researcher | 18 | 24% |
| Student > Master | 10 | 13% |
| Student > Doctoral Student | 7 | 9% |
| Student > Bachelor | 6 | 8% |
| Other | 6 | 8% |
| Unknown | 11 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 50% |
| Biochemistry, Genetics and Molecular Biology | 13 | 17% |
| Environmental Science | 3 | 4% |
| Computer Science | 3 | 4% |
| Linguistics | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 15 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 01 April 2014.
All research outputs
#7,302,619
of 25,374,917 outputs
Outputs from Bioinformatics
#6,060
of 12,809 outputs
Outputs of similar age
#64,257
of 229,111 outputs
Outputs of similar age from Bioinformatics
#94
of 184 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 12,809 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 52% 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 229,111 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 71% of its contemporaries.
We're also able to compare this research output to 184 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.