| Title |
METRO: Multi-ancestry transcriptome-wide association studies for powerful gene-trait association detection
|
|---|---|
| Published in |
American Journal of Human Genetics, March 2022
|
| DOI | 10.1016/j.ajhg.2022.03.003 |
| Pubmed ID | |
| Authors |
Zheng Li, Wei Zhao, Lulu Shang, Thomas H Mosley, Sharon L R Kardia, Jennifer A Smith, Xiang Zhou |
X Demographics
The data shown below were collected from the profiles of 18 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 | 7 | 39% |
| United Kingdom | 1 | 6% |
| Unknown | 10 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 67% |
| Scientists | 5 | 28% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Unspecified | 2 | 9% |
| Researcher | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Student > Master | 2 | 9% |
| Other | 0 | 0% |
| Unknown | 11 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 26% |
| Unspecified | 2 | 9% |
| Agricultural and Biological Sciences | 2 | 9% |
| Social Sciences | 2 | 9% |
| Neuroscience | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 11 April 2022.
All research outputs
#2,005,449
of 25,392,582 outputs
Outputs from American Journal of Human Genetics
#1,076
of 5,882 outputs
Outputs of similar age
#47,092
of 446,344 outputs
Outputs of similar age from American Journal of Human Genetics
#21
of 47 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 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,882 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done well, scoring higher than 81% 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 446,344 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 89% of its contemporaries.
We're also able to compare this research output to 47 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 55% of its contemporaries.