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X Demographics
Mendeley readers
Attention Score in Context
| Title |
IRcall and IRclassifier: two methods for flexible detection of intron retention events from RNA-Seq data
|
|---|---|
| Published in |
BMC Genomics, January 2015
|
| DOI | 10.1186/1471-2164-16-s2-s9 |
| Authors |
Yang Bai, Shufan Ji, Yadong Wang |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 33% |
| France | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| Unknown | 50 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 37% |
| Researcher | 13 | 25% |
| Student > Master | 5 | 10% |
| Student > Doctoral Student | 4 | 8% |
| Student > Bachelor | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 38% |
| Biochemistry, Genetics and Molecular Biology | 16 | 31% |
| Computer Science | 4 | 8% |
| Engineering | 2 | 4% |
| Mathematics | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 7 | 13% |
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 02 March 2015.
All research outputs
#3,529,417
of 22,778,347 outputs
Outputs from BMC Genomics
#1,325
of 10,643 outputs
Outputs of similar age
#51,263
of 351,724 outputs
Outputs of similar age from BMC Genomics
#36
of 276 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,643 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 87% 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 351,724 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 85% of its contemporaries.
We're also able to compare this research output to 276 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.