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Mendeley readers
Attention Score in Context
| Title |
Bayesian model-based inference of transcription factor activity
|
|---|---|
| Published in |
BMC Bioinformatics, May 2007
|
| DOI | 10.1186/1471-2105-8-s2-s2 |
| Pubmed ID | |
| Authors |
Simon Rogers, Raya Khanin, Mark Girolami |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| United Kingdom | 2 | 4% |
| Japan | 2 | 4% |
| Hong Kong | 1 | 2% |
| Unknown | 42 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 32% |
| Student > Ph. D. Student | 13 | 26% |
| Student > Master | 6 | 12% |
| Student > Bachelor | 4 | 8% |
| Professor | 4 | 8% |
| Other | 6 | 12% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 30% |
| Computer Science | 14 | 28% |
| Mathematics | 9 | 18% |
| Engineering | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 1 | 2% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 17 April 2020.
All research outputs
#2,472,423
of 22,880,691 outputs
Outputs from BMC Bioinformatics
#781
of 7,298 outputs
Outputs of similar age
#5,586
of 72,300 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 40 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,298 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 89% 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 72,300 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 91% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.