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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Speed/Accuracy Trade-Off between the Habitual and the Goal-Directed Processes
|
|---|---|
| Published in |
PLoS Computational Biology, May 2011
|
| DOI | 10.1371/journal.pcbi.1002055 |
| Pubmed ID | |
| Authors |
Mehdi Keramati, Amir Dezfouli, Payam Piray |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 43% |
| Germany | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 1 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 425 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 9 | 2% |
| United States | 8 | 2% |
| United Kingdom | 6 | 1% |
| France | 4 | <1% |
| Canada | 3 | <1% |
| Switzerland | 2 | <1% |
| Australia | 1 | <1% |
| Taiwan | 1 | <1% |
| Slovenia | 1 | <1% |
| Other | 5 | 1% |
| Unknown | 385 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 117 | 28% |
| Researcher | 83 | 20% |
| Student > Master | 67 | 16% |
| Student > Bachelor | 34 | 8% |
| Student > Doctoral Student | 23 | 5% |
| Other | 46 | 11% |
| Unknown | 55 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 111 | 26% |
| Neuroscience | 70 | 16% |
| Agricultural and Biological Sciences | 59 | 14% |
| Computer Science | 37 | 9% |
| Medicine and Dentistry | 19 | 4% |
| Other | 55 | 13% |
| Unknown | 74 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 12 February 2016.
All research outputs
#7,206,935
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#4,892
of 8,964 outputs
Outputs of similar age
#39,140
of 123,532 outputs
Outputs of similar age from PLoS Computational Biology
#28
of 60 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 123,532 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 68% of its contemporaries.
We're also able to compare this research output to 60 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 53% of its contemporaries.