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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A comprehensive comparison of comparative RNA structure prediction approaches
|
|---|---|
| Published in |
BMC Bioinformatics, September 2004
|
| DOI | 10.1186/1471-2105-5-140 |
| Pubmed ID | |
| Authors |
Paul P Gardner, Robert Giegerich |
| Abstract |
An increasing number of researchers have released novel RNA structure analysis and prediction algorithms for comparative approaches to structure prediction. Yet, independent benchmarking of these algorithms is rarely performed as is now common practice for protein-folding, gene-finding and multiple-sequence-alignment algorithms. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 278 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 3% |
| Germany | 5 | 2% |
| United Kingdom | 4 | 1% |
| Brazil | 4 | 1% |
| Canada | 3 | 1% |
| France | 2 | <1% |
| Poland | 2 | <1% |
| Spain | 2 | <1% |
| New Zealand | 1 | <1% |
| Other | 7 | 3% |
| Unknown | 240 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 74 | 27% |
| Researcher | 56 | 20% |
| Student > Master | 38 | 14% |
| Student > Bachelor | 26 | 9% |
| Professor | 14 | 5% |
| Other | 44 | 16% |
| Unknown | 26 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 122 | 44% |
| Biochemistry, Genetics and Molecular Biology | 51 | 18% |
| Computer Science | 36 | 13% |
| Engineering | 8 | 3% |
| Medicine and Dentistry | 6 | 2% |
| Other | 26 | 9% |
| Unknown | 29 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 07 May 2014.
All research outputs
#7,904,340
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#2,867
of 7,672 outputs
Outputs of similar age
#22,667
of 74,229 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,672 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 gotten more attention than average, scoring higher than 60% 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 74,229 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them