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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Editing GWAS: experimental approaches to dissect and exploit disease-associated genetic variation
|
|---|---|
| Published in |
Genome Medicine, March 2021
|
| DOI | 10.1186/s13073-021-00857-3 |
| Pubmed ID | |
| Authors |
Shuquan Rao, Yao Yao, Daniel E. Bauer |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 13% |
| Brazil | 1 | 13% |
| Greece | 1 | 13% |
| United Kingdom | 1 | 13% |
| United States | 1 | 13% |
| China | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 4 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 145 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 16% |
| Student > Ph. D. Student | 18 | 12% |
| Student > Master | 11 | 8% |
| Student > Doctoral Student | 10 | 7% |
| Unspecified | 5 | 3% |
| Other | 17 | 12% |
| Unknown | 61 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 37 | 26% |
| Agricultural and Biological Sciences | 16 | 11% |
| Medicine and Dentistry | 8 | 6% |
| Unspecified | 5 | 3% |
| Nursing and Health Professions | 2 | 1% |
| Other | 12 | 8% |
| Unknown | 65 | 45% |
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 03 April 2021.
All research outputs
#6,135,524
of 23,289,753 outputs
Outputs from Genome Medicine
#1,027
of 1,456 outputs
Outputs of similar age
#132,669
of 422,671 outputs
Outputs of similar age from Genome Medicine
#37
of 54 outputs
Altmetric has tracked 23,289,753 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 422,671 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 68% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.