| Title |
Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales
|
|---|---|
| Published in |
Nature Communications, April 2019
|
| DOI | 10.1038/s41467-019-09388-3 |
| Pubmed ID | |
| Authors |
Kiyohito Iigaya, Yashar Ahmadian, Leo P. Sugrue, Greg S. Corrado, Yonatan Loewenstein, William T. Newsome, Stefano Fusi |
X Demographics
The data shown below were collected from the profiles of 23 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 | 7 | 30% |
| Mexico | 2 | 9% |
| United Kingdom | 1 | 4% |
| Korea, Republic of | 1 | 4% |
| Netherlands | 1 | 4% |
| Unknown | 11 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 70% |
| Scientists | 7 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 91 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 21% |
| Student > Ph. D. Student | 15 | 16% |
| Student > Master | 13 | 14% |
| Student > Doctoral Student | 6 | 7% |
| Student > Bachelor | 5 | 5% |
| Other | 10 | 11% |
| Unknown | 23 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 33 | 36% |
| Psychology | 9 | 10% |
| Computer Science | 5 | 5% |
| Agricultural and Biological Sciences | 4 | 4% |
| Medicine and Dentistry | 4 | 4% |
| Other | 14 | 15% |
| Unknown | 22 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 31 December 2021.
All research outputs
#2,542,558
of 25,310,061 outputs
Outputs from Nature Communications
#29,332
of 56,101 outputs
Outputs of similar age
#54,201
of 359,103 outputs
Outputs of similar age from Nature Communications
#765
of 1,357 outputs
Altmetric has tracked 25,310,061 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 56,101 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.8. This one is in the 47th percentile – i.e., 47% 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 359,103 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 84% of its contemporaries.
We're also able to compare this research output to 1,357 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.