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Mendeley readers
Attention Score in Context
| Title |
Identifying Tightly Regulated and Variably Expressed Networks by Differential Rank Conservation (DIRAC)
|
|---|---|
| Published in |
PLoS Computational Biology, May 2010
|
| DOI | 10.1371/journal.pcbi.1000792 |
| Pubmed ID | |
| Authors |
James A. Eddy, Leroy Hood, Nathan D. Price, Donald Geman |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 4% |
| Brazil | 2 | 2% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Italy | 1 | <1% |
| Russia | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 112 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 28% |
| Student > Ph. D. Student | 30 | 23% |
| Professor > Associate Professor | 14 | 11% |
| Professor | 11 | 9% |
| Student > Master | 11 | 9% |
| Other | 16 | 13% |
| Unknown | 10 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 47 | 37% |
| Biochemistry, Genetics and Molecular Biology | 21 | 16% |
| Computer Science | 14 | 11% |
| Engineering | 8 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 3% |
| Other | 18 | 14% |
| Unknown | 16 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 02 August 2023.
All research outputs
#2,744,537
of 25,371,288 outputs
Outputs from PLoS Computational Biology
#2,463
of 8,958 outputs
Outputs of similar age
#10,145
of 105,149 outputs
Outputs of similar age from PLoS Computational Biology
#16
of 59 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 72% 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 105,149 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.