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Mendeley readers
Attention Score in Context
Title |
Strategies for measuring evolutionary conservation of RNA secondary structures
|
---|---|
Published in |
BMC Bioinformatics, February 2008
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DOI | 10.1186/1471-2105-9-122 |
Pubmed ID | |
Authors |
Andreas R Gruber, Stephan H Bernhart, Ivo L Hofacker, Stefan Washietl |
Abstract |
Evolutionary conservation of RNA secondary structure is a typical feature of many functional non-coding RNAs. Since almost all of the available methods used for prediction and annotation of non-coding RNA genes rely on this evolutionary signature, accurate measures for structural conservation are essential. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
Germany | 2 | 1% |
Canada | 2 | 1% |
United Kingdom | 2 | 1% |
Brazil | 1 | <1% |
Austria | 1 | <1% |
Chile | 1 | <1% |
China | 1 | <1% |
France | 1 | <1% |
Other | 2 | 1% |
Unknown | 120 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 44 | 32% |
Researcher | 27 | 20% |
Student > Master | 11 | 8% |
Student > Bachelor | 9 | 7% |
Professor > Associate Professor | 9 | 7% |
Other | 22 | 16% |
Unknown | 14 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 69 | 51% |
Biochemistry, Genetics and Molecular Biology | 25 | 18% |
Computer Science | 13 | 10% |
Engineering | 3 | 2% |
Chemistry | 3 | 2% |
Other | 10 | 7% |
Unknown | 13 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 19 March 2024.
All research outputs
#2,845,715
of 24,129,125 outputs
Outputs from BMC Bioinformatics
#876
of 7,504 outputs
Outputs of similar age
#8,283
of 81,726 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 49 outputs
Altmetric has tracked 24,129,125 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,504 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 88% 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 81,726 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 89% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.