| Title |
IntEREst: intron-exon retention estimator
|
|---|---|
| Published in |
BMC Bioinformatics, April 2018
|
| DOI | 10.1186/s12859-018-2122-5 |
| Pubmed ID | |
| Authors |
Ali Oghabian, Dario Greco, Mikko J. Frilander |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 4 | 31% |
| Finland | 2 | 15% |
| New Zealand | 2 | 15% |
| United States | 2 | 15% |
| France | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 1 | 8% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 54% |
| Scientists | 5 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 27% |
| Student > Ph. D. Student | 15 | 24% |
| Student > Bachelor | 5 | 8% |
| Student > Postgraduate | 4 | 6% |
| Student > Master | 4 | 6% |
| Other | 7 | 11% |
| Unknown | 10 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 25 | 40% |
| Agricultural and Biological Sciences | 13 | 21% |
| Mathematics | 2 | 3% |
| Computer Science | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 13 | 21% |
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 16 June 2019.
All research outputs
#4,894,961
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#1,732
of 7,793 outputs
Outputs of similar age
#88,158
of 347,204 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 104 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 77% 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 347,204 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 74% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.