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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SPLICE-q: a Python tool for genome-wide quantification of splicing efficiency
|
|---|---|
| Published in |
BMC Bioinformatics, July 2021
|
| DOI | 10.1186/s12859-021-04282-6 |
| Pubmed ID | |
| Authors |
Verônica R. de Melo Costa, Julianus Pfeuffer, Annita Louloupi, Ulf A. V. Ørom, Rosario M. Piro |
X Demographics
The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 13% |
| United Kingdom | 3 | 13% |
| United States | 3 | 13% |
| Netherlands | 1 | 4% |
| Sweden | 1 | 4% |
| India | 1 | 4% |
| Unknown | 12 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 13 | 54% |
| Members of the public | 11 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 40% |
| Researcher | 4 | 20% |
| Other | 1 | 5% |
| Professor | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 3 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 35% |
| Agricultural and Biological Sciences | 3 | 15% |
| Engineering | 2 | 10% |
| Computer Science | 1 | 5% |
| Mathematics | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 4 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 18 December 2021.
All research outputs
#2,363,791
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#671
of 7,418 outputs
Outputs of similar age
#57,177
of 437,434 outputs
Outputs of similar age from BMC Bioinformatics
#10
of 126 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,418 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 90% 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 437,434 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 86% of its contemporaries.
We're also able to compare this research output to 126 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 92% of its contemporaries.