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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bayesian networks in neuroscience: a survey
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, October 2014
|
| DOI | 10.3389/fncom.2014.00131 |
| Pubmed ID | |
| Authors |
Concha Bielza, Pedro Larrañaga |
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 % |
|---|---|---|
| United States | 1 | 33% |
| United Kingdom | 1 | 33% |
| Belgium | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 249 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 2% |
| United States | 3 | 1% |
| Portugal | 2 | <1% |
| Italy | 1 | <1% |
| Hong Kong | 1 | <1% |
| Switzerland | 1 | <1% |
| Canada | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 233 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 69 | 28% |
| Researcher | 33 | 13% |
| Student > Master | 27 | 11% |
| Student > Bachelor | 22 | 9% |
| Professor > Associate Professor | 13 | 5% |
| Other | 39 | 16% |
| Unknown | 46 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 47 | 19% |
| Neuroscience | 37 | 15% |
| Engineering | 22 | 9% |
| Agricultural and Biological Sciences | 22 | 9% |
| Psychology | 14 | 6% |
| Other | 51 | 20% |
| Unknown | 56 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 25 November 2015.
All research outputs
#6,407,957
of 22,766,595 outputs
Outputs from Frontiers in Computational Neuroscience
#334
of 1,339 outputs
Outputs of similar age
#69,404
of 255,780 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#7
of 28 outputs
Altmetric has tracked 22,766,595 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,339 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 74% 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 255,780 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 28 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.