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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Primer on Regression Methods for Decoding cis-Regulatory Logic
|
|---|---|
| Published in |
PLoS Computational Biology, January 2009
|
| DOI | 10.1371/journal.pcbi.1000269 |
| Pubmed ID | |
| Authors |
Debopriya Das, Matteo Pellegrini, Joe W. Gray |
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 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 10% |
| United Kingdom | 3 | 3% |
| Norway | 3 | 3% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Portugal | 1 | <1% |
| Germany | 1 | <1% |
| Sweden | 1 | <1% |
| Argentina | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 90 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 49 | 43% |
| Student > Ph. D. Student | 30 | 26% |
| Professor > Associate Professor | 17 | 15% |
| Professor | 7 | 6% |
| Other | 4 | 3% |
| Other | 7 | 6% |
| Unknown | 1 | <1% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 73 | 63% |
| Biochemistry, Genetics and Molecular Biology | 17 | 15% |
| Computer Science | 8 | 7% |
| Mathematics | 3 | 3% |
| Chemistry | 3 | 3% |
| Other | 10 | 9% |
| Unknown | 1 | <1% |
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 04 August 2013.
All research outputs
#16,047,334
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#6,968
of 8,960 outputs
Outputs of similar age
#156,436
of 186,033 outputs
Outputs of similar age from PLoS Computational Biology
#24
of 33 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 19th percentile – i.e., 19% 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 186,033 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.