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Twitter 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 |
| Abstract |
The Ensembl Variant Effect Predictor is a powerful toolset for the analysis, annotation, and prioritization of genomic variants in coding and non-coding regions. It provides access to an extensive collection of genomic annotation, with a variety of interfaces to suit different requirements, and simple options for configuring and extending analysis. It is open source, free to use, and supports full reproducibility of results. The Ensembl Variant Effect Predictor can simplify and accelerate variant interpretation in a wide range of study designs. |
Twitter Demographics
The data shown below were collected from the profiles of 73 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 12 | 16% |
| United States | 8 | 11% |
| Spain | 4 | 5% |
| Canada | 3 | 4% |
| India | 3 | 4% |
| France | 2 | 3% |
| Netherlands | 1 | 1% |
| Finland | 1 | 1% |
| Germany | 1 | 1% |
| Other | 5 | 7% |
| Unknown | 33 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 38 | 52% |
| Members of the public | 33 | 45% |
| 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 3,180 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | <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 | 3159 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 612 | 19% |
| Researcher | 539 | 17% |
| Student > Master | 394 | 12% |
| Student > Bachelor | 328 | 10% |
| Student > Doctoral Student | 166 | 5% |
| Other | 426 | 13% |
| Unknown | 715 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1059 | 33% |
| Agricultural and Biological Sciences | 565 | 18% |
| Medicine and Dentistry | 252 | 8% |
| Computer Science | 119 | 4% |
| Unspecified | 58 | 2% |
| Other | 300 | 9% |
| Unknown | 827 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 104. 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 14 August 2023.
All research outputs
#380,171
of 24,359,979 outputs
Outputs from Genome Biology
#207
of 4,320 outputs
Outputs of similar age
#7,782
of 346,767 outputs
Outputs of similar age from Genome Biology
#5
of 83 outputs
Altmetric has tracked 24,359,979 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 4,320 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. 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 346,767 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 83 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 95% of its contemporaries.