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Mendeley readers
Attention Score in Context
| Title |
Asap: A Framework for Over-Representation Statistics for Transcription Factor Binding Sites
|
|---|---|
| Published in |
PLOS ONE, February 2008
|
| DOI | 10.1371/journal.pone.0001623 |
| Pubmed ID | |
| Authors |
Troels T. Marstrand, Jes Frellsen, Ida Moltke, Martin Thiim, Eivind Valen, Dorota Retelska, Anders Krogh |
| Abstract |
In studies of gene regulation the efficient computational detection of over-represented transcription factor binding sites is an increasingly important aspect. Several published methods can be used for testing whether a set of hypothesised co-regulated genes share a common regulatory regime based on the occurrence of the modelled transcription factor binding sites. However there is little or no information available for guiding the end users choice of method. Furthermore it would be necessary to obtain several different software programs from various sources to make a well-founded choice. |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| Portugal | 1 | 2% |
| Norway | 1 | 2% |
| Sweden | 1 | 2% |
| Australia | 1 | 2% |
| Denmark | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 53 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 29% |
| Student > Ph. D. Student | 16 | 26% |
| Student > Master | 10 | 16% |
| Professor > Associate Professor | 7 | 11% |
| Other | 3 | 5% |
| Other | 4 | 6% |
| Unknown | 4 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 63% |
| Biochemistry, Genetics and Molecular Biology | 10 | 16% |
| Computer Science | 5 | 8% |
| Medicine and Dentistry | 2 | 3% |
| Neuroscience | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 5 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 21 February 2008.
All research outputs
#7,454,298
of 22,789,076 outputs
Outputs from PLOS ONE
#88,765
of 194,533 outputs
Outputs of similar age
#28,549
of 80,074 outputs
Outputs of similar age from PLOS ONE
#162
of 277 outputs
Altmetric has tracked 22,789,076 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,533 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 49th percentile – i.e., 49% 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 80,074 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 277 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.