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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Can polygenic risk scores help explain disease prevalence differences around the world? A worldwide investigation
|
|---|---|
| Published in |
BMC Genomic Data, November 2023
|
| DOI | 10.1186/s12863-023-01168-9 |
| Pubmed ID | |
| Authors |
Pritesh R. Jain, Myson Burch, Melanie Martinez, Pablo Mir, Jakub P. Fichna, Cezary Zekanowski, Renata Rizzo, Zeynep Tümer, Csaba Barta, Evangelia Yannaki, John Stamatoyannopoulos, Petros Drineas, Peristera Paschou |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 14% |
| Israel | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 43% |
| Scientists | 3 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 25% |
| Professor | 1 | 13% |
| Lecturer | 1 | 13% |
| Student > Master | 1 | 13% |
| Unknown | 3 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 25% |
| Agricultural and Biological Sciences | 2 | 25% |
| Medicine and Dentistry | 1 | 13% |
| Unknown | 3 | 38% |
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 11 December 2023.
All research outputs
#7,551,440
of 24,978,429 outputs
Outputs from BMC Genomic Data
#22
of 137 outputs
Outputs of similar age
#67,488
of 233,461 outputs
Outputs of similar age from BMC Genomic Data
#3
of 10 outputs
Altmetric has tracked 24,978,429 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 137 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 84% 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 233,461 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.