| Title |
Characterizing the interplay between gene nucleotide composition bias and splicing
|
|---|---|
| Published in |
Genome Biology, November 2019
|
| DOI | 10.1186/s13059-019-1869-y |
| Pubmed ID | |
| Authors |
Sébastien Lemaire, Nicolas Fontrodona, Fabien Aubé, Jean-Baptiste Claude, Hélène Polvèche, Laurent Modolo, Cyril F. Bourgeois, Franck Mortreux, Didier Auboeuf |
X Demographics
The data shown below were collected from the profiles of 17 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 | 41% |
| Spain | 2 | 12% |
| France | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 6 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 53% |
| Scientists | 5 | 29% |
| Science communicators (journalists, bloggers, editors) | 3 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 27% |
| Researcher | 5 | 17% |
| Student > Master | 4 | 13% |
| Other | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 6 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 47% |
| Agricultural and Biological Sciences | 4 | 13% |
| Computer Science | 2 | 7% |
| Medicine and Dentistry | 1 | 3% |
| Unknown | 9 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 25 December 2019.
All research outputs
#4,354,305
of 25,622,179 outputs
Outputs from Genome Biology
#2,691
of 4,495 outputs
Outputs of similar age
#96,206
of 479,802 outputs
Outputs of similar age from Genome Biology
#80
of 97 outputs
Altmetric has tracked 25,622,179 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 4,495 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 479,802 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 79% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.