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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Effective alignment of RNA pseudoknot structures using partition function posterior log-odds scores
|
|---|---|
| Published in |
BMC Bioinformatics, February 2015
|
| DOI | 10.1186/s12859-015-0464-9 |
| Pubmed ID | |
| Authors |
Yang Song, Lei Hua, Bruce A Shapiro, Jason TL Wang |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 25% |
| France | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 5% |
| Unknown | 20 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 19% |
| Researcher | 4 | 19% |
| Student > Master | 3 | 14% |
| Student > Ph. D. Student | 2 | 10% |
| Professor > Associate Professor | 2 | 10% |
| Other | 3 | 14% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 38% |
| Computer Science | 6 | 29% |
| Mathematics | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Unknown | 3 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 February 2015.
All research outputs
#14,214,321
of 22,787,797 outputs
Outputs from BMC Bioinformatics
#4,720
of 7,279 outputs
Outputs of similar age
#187,248
of 352,111 outputs
Outputs of similar age from BMC Bioinformatics
#78
of 134 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,279 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 352,111 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 134 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.