| Title |
wANNOVAR: annotating genetic variants for personal genomes via the web
|
|---|---|
| Published in |
Journal of Medical Genetics, June 2012
|
| DOI | 10.1136/jmedgenet-2012-100918 |
| Pubmed ID | |
| Authors |
Xiao Chang, Kai Wang |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Italy | 1 | <1% |
| France | 1 | <1% |
| Sweden | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 205 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 16% |
| Student > Ph. D. Student | 33 | 15% |
| Student > Master | 28 | 13% |
| Student > Bachelor | 21 | 10% |
| Student > Postgraduate | 11 | 5% |
| Other | 35 | 16% |
| Unknown | 50 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 51 | 24% |
| Agricultural and Biological Sciences | 50 | 23% |
| Medicine and Dentistry | 31 | 15% |
| Computer Science | 7 | 3% |
| Neuroscience | 3 | 1% |
| Other | 14 | 7% |
| Unknown | 57 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 July 2012.
All research outputs
#15,810,483
of 26,017,215 outputs
Outputs from Journal of Medical Genetics
#2,731
of 3,243 outputs
Outputs of similar age
#106,695
of 181,241 outputs
Outputs of similar age from Journal of Medical Genetics
#21
of 28 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,243 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 13th percentile – i.e., 13% 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 181,241 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.