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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Primer on Learning in Bayesian Networks for Computational Biology
|
|---|---|
| Published in |
PLoS Computational Biology, August 2007
|
| DOI | 10.1371/journal.pcbi.0030129 |
| Pubmed ID | |
| Authors |
Chris J Needham, James R Bradford, Andrew J Bulpitt, David R Westhead |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Israel | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 763 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 40 | 5% |
| United Kingdom | 13 | 2% |
| Germany | 12 | 2% |
| France | 5 | <1% |
| Netherlands | 3 | <1% |
| China | 3 | <1% |
| Switzerland | 3 | <1% |
| Sweden | 3 | <1% |
| Brazil | 3 | <1% |
| Other | 33 | 4% |
| Unknown | 645 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 226 | 30% |
| Researcher | 195 | 26% |
| Student > Master | 66 | 9% |
| Professor | 47 | 6% |
| Student > Bachelor | 47 | 6% |
| Other | 133 | 17% |
| Unknown | 49 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 299 | 39% |
| Computer Science | 99 | 13% |
| Biochemistry, Genetics and Molecular Biology | 67 | 9% |
| Engineering | 47 | 6% |
| Medicine and Dentistry | 41 | 5% |
| Other | 125 | 16% |
| Unknown | 85 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 December 2016.
All research outputs
#3,415,510
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#3,021
of 8,960 outputs
Outputs of similar age
#8,359
of 81,056 outputs
Outputs of similar age from PLoS Computational Biology
#6
of 24 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has gotten more attention than average, scoring higher than 65% 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 81,056 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.