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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Impact of admixture and ancestry on eQTL analysis and GWAS colocalization in GTEx
|
|---|---|
| Published in |
Genome Biology, September 2020
|
| DOI | 10.1186/s13059-020-02113-0 |
| Pubmed ID | |
| Authors |
Nicole R. Gay, Michael Gloudemans, Margaret L. Antonio, Nathan S. Abell, Brunilda Balliu, YoSon Park, Alicia R. Martin, Shaila Musharoff, Abhiram S. Rao, François Aguet, Alvaro N. Barbeira, Rodrigo Bonazzola, Farhad Hormozdiari, Kristin G. Ardlie, Christopher D. Brown, Hae Kyung Im, Tuuli Lappalainen, Xiaoquan Wen, Stephen B. Montgomery |
X Demographics
The data shown below were collected from the profiles of 35 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 | 12 | 34% |
| Germany | 3 | 9% |
| Australia | 2 | 6% |
| France | 2 | 6% |
| Sweden | 1 | 3% |
| United Kingdom | 1 | 3% |
| Unknown | 14 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 18 | 51% |
| Members of the public | 14 | 40% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 136 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 18% |
| Student > Ph. D. Student | 24 | 18% |
| Student > Bachelor | 12 | 9% |
| Student > Master | 7 | 5% |
| Student > Doctoral Student | 5 | 4% |
| Other | 15 | 11% |
| Unknown | 48 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 42 | 31% |
| Agricultural and Biological Sciences | 17 | 13% |
| Medicine and Dentistry | 5 | 4% |
| Neuroscience | 4 | 3% |
| Economics, Econometrics and Finance | 3 | 2% |
| Other | 15 | 11% |
| Unknown | 50 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 December 2023.
All research outputs
#1,876,427
of 25,516,314 outputs
Outputs from Genome Biology
#1,563
of 4,484 outputs
Outputs of similar age
#50,218
of 426,643 outputs
Outputs of similar age from Genome Biology
#51
of 84 outputs
Altmetric has tracked 25,516,314 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,484 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 65% 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 426,643 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.