You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational comparison of common event-based differential splicing tools: practical considerations for laboratory researchers
|
|---|---|
| Published in |
BMC Bioinformatics, June 2021
|
| DOI | 10.1186/s12859-021-04263-9 |
| Pubmed ID | |
| Authors |
Ittai B. Muller, Stijn Meijers, Peter Kampstra, Steven van Dijk, Michel van Elswijk, Marry Lin, Anna M. Wojtuszkiewicz, Gerrit Jansen, Robert de Jonge, Jacqueline Cloos |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 13% |
| Australia | 1 | 13% |
| India | 1 | 13% |
| Sweden | 1 | 13% |
| United Kingdom | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 4 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 32% |
| Researcher | 10 | 26% |
| Student > Bachelor | 3 | 8% |
| Student > Master | 2 | 5% |
| Professor | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 42% |
| Agricultural and Biological Sciences | 7 | 18% |
| Social Sciences | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 7 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 01 July 2021.
All research outputs
#7,418,252
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#2,916
of 7,388 outputs
Outputs of similar age
#156,045
of 442,707 outputs
Outputs of similar age from BMC Bioinformatics
#68
of 151 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,388 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 gotten more attention than average, scoring higher than 58% 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 442,707 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 151 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 52% of its contemporaries.