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X Demographics
Mendeley readers
Attention Score in Context
Title |
SUPPA2: fast, accurate, and uncertainty-aware differential splicing analysis across multiple conditions
|
---|---|
Published in |
Genome Biology, March 2018
|
DOI | 10.1186/s13059-018-1417-1 |
Pubmed ID | |
Authors |
Juan L. Trincado, Juan C. Entizne, Gerald Hysenaj, Babita Singh, Miha Skalic, David J. Elliott, Eduardo Eyras |
X Demographics
The data shown below were collected from the profiles of 38 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 | 7 | 18% |
United Kingdom | 6 | 16% |
Australia | 3 | 8% |
Canada | 2 | 5% |
Spain | 2 | 5% |
Germany | 2 | 5% |
Switzerland | 2 | 5% |
New Zealand | 1 | 3% |
Brazil | 1 | 3% |
Other | 2 | 5% |
Unknown | 10 | 26% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 22 | 58% |
Members of the public | 15 | 39% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 335 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 335 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 73 | 22% |
Researcher | 61 | 18% |
Student > Master | 37 | 11% |
Student > Bachelor | 26 | 8% |
Student > Doctoral Student | 14 | 4% |
Other | 42 | 13% |
Unknown | 82 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 125 | 37% |
Agricultural and Biological Sciences | 65 | 19% |
Computer Science | 16 | 5% |
Medicine and Dentistry | 6 | 2% |
Neuroscience | 6 | 2% |
Other | 23 | 7% |
Unknown | 94 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 07 March 2024.
All research outputs
#1,126,205
of 25,837,817 outputs
Outputs from Genome Biology
#813
of 4,513 outputs
Outputs of similar age
#24,960
of 349,385 outputs
Outputs of similar age from Genome Biology
#11
of 41 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 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done well, scoring higher than 81% 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 349,385 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 92% of its contemporaries.
We're also able to compare this research output to 41 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 73% of its contemporaries.