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X Demographics
Mendeley readers
Attention Score in Context
Title |
Combining genetic constraint with predictions of alternative splicing to prioritize deleterious splicing in rare disease studies
|
---|---|
Published in |
BMC Bioinformatics, November 2022
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DOI | 10.1186/s12859-022-05041-x |
Pubmed ID | |
Authors |
Michael J. Cormier, Brent S. Pedersen, Pinar Bayrak-Toydemir, Aaron R. Quinlan |
X Demographics
The data shown below were collected from the profiles of 18 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 | 5 | 28% |
United Kingdom | 2 | 11% |
Netherlands | 1 | 6% |
New Zealand | 1 | 6% |
Sweden | 1 | 6% |
France | 1 | 6% |
Unknown | 7 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 44% |
Scientists | 7 | 39% |
Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 27% |
Student > Ph. D. Student | 4 | 15% |
Professor | 3 | 12% |
Student > Bachelor | 2 | 8% |
Student > Master | 2 | 8% |
Other | 2 | 8% |
Unknown | 6 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 10 | 38% |
Agricultural and Biological Sciences | 4 | 15% |
Nursing and Health Professions | 1 | 4% |
Unspecified | 1 | 4% |
Computer Science | 1 | 4% |
Other | 1 | 4% |
Unknown | 8 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 09 June 2023.
All research outputs
#4,460,360
of 24,954,788 outputs
Outputs from BMC Bioinformatics
#1,580
of 7,616 outputs
Outputs of similar age
#85,169
of 426,873 outputs
Outputs of similar age from BMC Bioinformatics
#21
of 161 outputs
Altmetric has tracked 24,954,788 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,616 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 79% 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 426,873 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 80% of its contemporaries.
We're also able to compare this research output to 161 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.