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Mendeley readers
Attention Score in Context
| Title |
RNAstructure: software for RNA secondary structure prediction and analysis
|
|---|---|
| Published in |
BMC Bioinformatics, March 2010
|
| DOI | 10.1186/1471-2105-11-129 |
| Pubmed ID | |
| Authors |
Jessica S Reuter, David H Mathews |
| Abstract |
To understand an RNA sequence's mechanism of action, the structure must be known. Furthermore, target RNA structure is an important consideration in the design of small interfering RNAs and antisense DNA oligonucleotides. RNA secondary structure prediction, using thermodynamics, can be used to develop hypotheses about the structure of an RNA sequence. |
Mendeley readers
The data shown below were compiled from readership statistics for 869 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | <1% |
| France | 7 | <1% |
| Germany | 4 | <1% |
| Brazil | 4 | <1% |
| India | 3 | <1% |
| Spain | 2 | <1% |
| Belgium | 2 | <1% |
| Malaysia | 2 | <1% |
| Canada | 2 | <1% |
| Other | 9 | 1% |
| Unknown | 826 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 219 | 25% |
| Researcher | 164 | 19% |
| Student > Master | 96 | 11% |
| Student > Bachelor | 75 | 9% |
| Student > Doctoral Student | 36 | 4% |
| Other | 115 | 13% |
| Unknown | 164 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 259 | 30% |
| Biochemistry, Genetics and Molecular Biology | 222 | 26% |
| Chemistry | 47 | 5% |
| Computer Science | 40 | 5% |
| Engineering | 27 | 3% |
| Other | 91 | 10% |
| Unknown | 183 | 21% |
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 30 December 2021.
All research outputs
#3,270,802
of 22,780,165 outputs
Outputs from BMC Bioinformatics
#1,220
of 7,277 outputs
Outputs of similar age
#12,960
of 94,087 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 62 outputs
Altmetric has tracked 22,780,165 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 7,277 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 82% 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 94,087 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 83% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.