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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimal Behavioral Hierarchy
|
|---|---|
| Published in |
PLoS Computational Biology, August 2014
|
| DOI | 10.1371/journal.pcbi.1003779 |
| Pubmed ID | |
| Authors |
Alec Solway, Carlos Diuk, Natalia Córdova, Debbie Yee, Andrew G. Barto, Yael Niv, Matthew M. Botvinick |
| Abstract |
Human behavior has long been recognized to display hierarchical structure: actions fit together into subtasks, which cohere into extended goal-directed activities. Arranging actions hierarchically has well established benefits, allowing behaviors to be represented efficiently by the brain, and allowing solutions to new tasks to be discovered easily. However, these payoffs depend on the particular way in which actions are organized into a hierarchy, the specific way in which tasks are carved up into subtasks. We provide a mathematical account for what makes some hierarchies better than others, an account that allows an optimal hierarchy to be identified for any set of tasks. We then present results from four behavioral experiments, suggesting that human learners spontaneously discover optimal action hierarchies. |
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 % |
|---|---|---|
| United States | 2 | 29% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 296 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 2% |
| Spain | 2 | <1% |
| France | 2 | <1% |
| Portugal | 1 | <1% |
| Netherlands | 1 | <1% |
| Italy | 1 | <1% |
| Germany | 1 | <1% |
| Belgium | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 277 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 88 | 30% |
| Researcher | 54 | 18% |
| Student > Bachelor | 35 | 12% |
| Student > Master | 34 | 11% |
| Student > Postgraduate | 15 | 5% |
| Other | 32 | 11% |
| Unknown | 38 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 57 | 19% |
| Psychology | 56 | 19% |
| Computer Science | 49 | 17% |
| Agricultural and Biological Sciences | 38 | 13% |
| Engineering | 17 | 6% |
| Other | 29 | 10% |
| Unknown | 50 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 10 September 2014.
All research outputs
#3,060,830
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#2,718
of 8,960 outputs
Outputs of similar age
#30,043
of 243,822 outputs
Outputs of similar age from PLoS Computational Biology
#38
of 159 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 87th 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 69% 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 243,822 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 87% of its contemporaries.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.