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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SePIA: RNA and small RNA sequence processing, integration, and analysis
|
|---|---|
| Published in |
BioData Mining, May 2016
|
| DOI | 10.1186/s13040-016-0099-z |
| Pubmed ID | |
| Authors |
Katherine Icay, Ping Chen, Alejandra Cervera, Ville Rantanen, Rainer Lehtonen, Sampsa Hautaniemi |
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 % |
|---|---|---|
| France | 2 | 15% |
| United Kingdom | 1 | 8% |
| Unknown | 10 | 77% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 69% |
| Scientists | 4 | 31% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| Finland | 1 | 2% |
| Denmark | 1 | 2% |
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 58 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 29% |
| Student > Ph. D. Student | 9 | 14% |
| Student > Master | 8 | 13% |
| Student > Doctoral Student | 8 | 13% |
| Student > Bachelor | 6 | 10% |
| Other | 13 | 21% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 20 | 32% |
| Agricultural and Biological Sciences | 17 | 27% |
| Computer Science | 16 | 25% |
| Medicine and Dentistry | 3 | 5% |
| Engineering | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 3 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 17 June 2016.
All research outputs
#1,946,447
of 25,837,817 outputs
Outputs from BioData Mining
#24
of 325 outputs
Outputs of similar age
#33,390
of 351,896 outputs
Outputs of similar age from BioData Mining
#2
of 10 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 325 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 92% 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 351,896 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.