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X Demographics
Mendeley readers
Attention Score in Context
Title |
The Ensembl Variant Effect Predictor
|
---|---|
Published in |
Genome Biology, June 2016
|
DOI | 10.1186/s13059-016-0974-4 |
Pubmed ID | |
Authors |
William McLaren, Laurent Gil, Sarah E. Hunt, Harpreet Singh Riat, Graham R. S. Ritchie, Anja Thormann, Paul Flicek, Fiona Cunningham |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 7% |
United Kingdom | 5 | 7% |
Spain | 3 | 4% |
Canada | 2 | 3% |
India | 2 | 3% |
Sweden | 1 | 1% |
Finland | 1 | 1% |
Australia | 1 | 1% |
Ireland | 1 | 1% |
Other | 3 | 4% |
Unknown | 45 | 65% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 35 | 51% |
Members of the public | 32 | 46% |
Science communicators (journalists, bloggers, editors) | 1 | 1% |
Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 3,605 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | <1% |
United Kingdom | 3 | <1% |
Netherlands | 1 | <1% |
Chile | 1 | <1% |
Norway | 1 | <1% |
Italy | 1 | <1% |
Uruguay | 1 | <1% |
Germany | 1 | <1% |
Sweden | 1 | <1% |
Other | 3 | <1% |
Unknown | 3585 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 649 | 18% |
Researcher | 574 | 16% |
Student > Master | 418 | 12% |
Student > Bachelor | 357 | 10% |
Student > Doctoral Student | 175 | 5% |
Other | 452 | 13% |
Unknown | 980 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 1131 | 31% |
Agricultural and Biological Sciences | 598 | 17% |
Medicine and Dentistry | 266 | 7% |
Computer Science | 123 | 3% |
Neuroscience | 51 | 1% |
Other | 333 | 9% |
Unknown | 1103 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 111. 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 02 July 2024.
All research outputs
#404,310
of 26,560,265 outputs
Outputs from Genome Biology
#190
of 4,634 outputs
Outputs of similar age
#7,606
of 358,830 outputs
Outputs of similar age from Genome Biology
#5
of 82 outputs
Altmetric has tracked 26,560,265 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,634 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done particularly well, scoring higher than 95% 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 358,830 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 97% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.