| Title |
MutationTaster2: mutation prediction for the deep-sequencing age
|
|---|---|
| Published in |
Nature Methods, March 2014
|
| DOI | 10.1038/nmeth.2890 |
| Pubmed ID | |
| Authors |
Jana Marie Schwarz, David N Cooper, Markus Schuelke, Dominik Seelow |
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 % |
|---|---|---|
| United States | 2 | 29% |
| United Kingdom | 2 | 29% |
| Peru | 1 | 14% |
| Netherlands | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,298 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 4 | <1% |
| United States | 3 | <1% |
| Spain | 3 | <1% |
| Germany | 2 | <1% |
| United Kingdom | 2 | <1% |
| Argentina | 2 | <1% |
| India | 1 | <1% |
| Brazil | 1 | <1% |
| Singapore | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 1276 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 256 | 20% |
| Researcher | 205 | 16% |
| Student > Master | 183 | 14% |
| Student > Bachelor | 127 | 10% |
| Student > Doctoral Student | 80 | 6% |
| Other | 169 | 13% |
| Unknown | 278 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 419 | 32% |
| Agricultural and Biological Sciences | 231 | 18% |
| Medicine and Dentistry | 173 | 13% |
| Computer Science | 32 | 2% |
| Neuroscience | 28 | 2% |
| Other | 77 | 6% |
| Unknown | 338 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 10 February 2023.
All research outputs
#1,889,409
of 25,837,817 outputs
Outputs from Nature Methods
#2,138
of 5,401 outputs
Outputs of similar age
#18,480
of 242,409 outputs
Outputs of similar age from Nature Methods
#33
of 99 outputs
Altmetric has tracked 25,837,817 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 5,401 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.7. This one has gotten more attention than average, scoring higher than 60% 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 242,409 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 99 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 66% of its contemporaries.