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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Biased Bayesian Inference for Decision-Making and Cognitive Control
|
|---|---|
| Published in |
Frontiers in Neuroscience, October 2018
|
| DOI | 10.3389/fnins.2018.00734 |
| Pubmed ID | |
| Authors |
Kaosu Matsumori, Yasuharu Koike, Kenji Matsumoto |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 18% |
| Student > Master | 8 | 10% |
| Student > Bachelor | 8 | 10% |
| Professor > Associate Professor | 7 | 9% |
| Professor | 5 | 6% |
| Other | 16 | 20% |
| Unknown | 22 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 12 | 15% |
| Psychology | 12 | 15% |
| Computer Science | 6 | 8% |
| Engineering | 5 | 6% |
| Medicine and Dentistry | 3 | 4% |
| Other | 12 | 15% |
| Unknown | 30 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 06 May 2020.
All research outputs
#1,812,281
of 26,591,670 outputs
Outputs from Frontiers in Neuroscience
#920
of 11,961 outputs
Outputs of similar age
#36,413
of 362,113 outputs
Outputs of similar age from Frontiers in Neuroscience
#26
of 257 outputs
Altmetric has tracked 26,591,670 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,961 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done particularly well, scoring higher than 92% 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 362,113 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 89% of its contemporaries.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.