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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fast selection of miRNA candidates based on large-scale pre-computed MFE sets of randomized sequences
|
|---|---|
| Published in |
BMC Research Notes, January 2014
|
| DOI | 10.1186/1756-0500-7-34 |
| Pubmed ID | |
| Authors |
Sven Warris, Sander Boymans, Iwe Muiser, Michiel Noback, Wim Krijnen, Jan-Peter Nap |
| Abstract |
Small RNAs are important regulators of genome function, yet their prediction in genomes is still a major computational challenge. Statistical analyses of pre-miRNA sequences indicated that their 2D structure tends to have a minimal free energy (MFE) significantly lower than MFE values of equivalently randomized sequences with the same nucleotide composition, in contrast to other classes of non-coding RNA. The computation of many MFEs is, however, too intensive to allow for genome-wide screenings. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
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 % |
|---|---|---|
| Canada | 2 | 10% |
| Russia | 1 | 5% |
| Netherlands | 1 | 5% |
| Unknown | 17 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 29% |
| Student > Ph. D. Student | 5 | 24% |
| Professor > Associate Professor | 3 | 14% |
| Student > Doctoral Student | 2 | 10% |
| Student > Master | 2 | 10% |
| Other | 2 | 10% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 52% |
| Computer Science | 3 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 1 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 27 January 2014.
All research outputs
#15,291,764
of 22,741,406 outputs
Outputs from BMC Research Notes
#2,314
of 4,261 outputs
Outputs of similar age
#190,163
of 306,019 outputs
Outputs of similar age from BMC Research Notes
#75
of 127 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,261 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 33rd percentile – i.e., 33% 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 306,019 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.