| Title |
Enhancer variants: evaluating functions in common disease
|
|---|---|
| Published in |
Genome Medicine, October 2014
|
| DOI | 10.1186/s13073-014-0085-3 |
| Pubmed ID | |
| Authors |
Olivia Corradin, Peter C Scacheri |
X Demographics
The data shown below were collected from the profiles of 14 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 | 4 | 29% |
| United Kingdom | 3 | 21% |
| Spain | 1 | 7% |
| France | 1 | 7% |
| Mexico | 1 | 7% |
| Unknown | 4 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 71% |
| Members of the public | 3 | 21% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 330 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| United Kingdom | 2 | <1% |
| Australia | 1 | <1% |
| China | 1 | <1% |
| Luxembourg | 1 | <1% |
| Unknown | 322 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 86 | 26% |
| Researcher | 54 | 16% |
| Student > Bachelor | 34 | 10% |
| Student > Master | 28 | 8% |
| Student > Doctoral Student | 18 | 5% |
| Other | 52 | 16% |
| Unknown | 58 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 110 | 33% |
| Agricultural and Biological Sciences | 91 | 28% |
| Medicine and Dentistry | 25 | 8% |
| Computer Science | 10 | 3% |
| Immunology and Microbiology | 4 | 1% |
| Other | 22 | 7% |
| Unknown | 68 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 August 2020.
All research outputs
#3,258,522
of 25,837,817 outputs
Outputs from Genome Medicine
#721
of 1,611 outputs
Outputs of similar age
#36,340
of 275,982 outputs
Outputs of similar age from Genome Medicine
#23
of 52 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,611 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has gotten more attention than average, scoring higher than 55% 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 275,982 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 86% of its contemporaries.
We're also able to compare this research output to 52 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.