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X Demographics
Mendeley readers
Attention Score in Context
| Title |
JACUSA: site-specific identification of RNA editing events from replicate sequencing data
|
|---|---|
| Published in |
BMC Bioinformatics, January 2017
|
| DOI | 10.1186/s12859-016-1432-8 |
| Pubmed ID | |
| Authors |
Michael Piechotta, Emanuel Wyler, Uwe Ohler, Markus Landthaler, Christoph Dieterich |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 14% |
| Netherlands | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 113 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 19% |
| Student > Ph. D. Student | 20 | 17% |
| Student > Bachelor | 16 | 14% |
| Student > Master | 13 | 11% |
| Professor | 6 | 5% |
| Other | 12 | 10% |
| Unknown | 26 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 46 | 40% |
| Agricultural and Biological Sciences | 25 | 22% |
| Computer Science | 4 | 3% |
| Medicine and Dentistry | 3 | 3% |
| Engineering | 3 | 3% |
| Other | 7 | 6% |
| Unknown | 27 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 13 June 2024.
All research outputs
#2,564,659
of 26,367,306 outputs
Outputs from BMC Bioinformatics
#616
of 7,798 outputs
Outputs of similar age
#48,306
of 428,417 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 139 outputs
Altmetric has tracked 26,367,306 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,798 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 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 428,417 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 88% of its contemporaries.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.