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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evolution of speech-specific cognitive adaptations
|
|---|---|
| Published in |
Frontiers in Psychology, September 2015
|
| DOI | 10.3389/fpsyg.2015.01505 |
| Pubmed ID | |
| Authors |
Bart de Boer |
| Abstract |
This paper argues that an evolutionary perspective is natural when investigating cognitive adaptations related to language. This is because there appears to be correspondence between traits that linguists consider interesting and traits that have undergone selective pressure related to language. The paper briefly reviews theoretical results that shed light on what kind of adaptations we can expect to have evolved and then reviews concrete work related to the evolution of adaptations for combinatorial speech. It turns out that there is as yet no strong direct evidence for cognitive traits that have undergone selection related to speech, but there is indirect evidence that indicates selection. However, the traits that may have undergone selection are expected to be continuously variable ones, rather than the discrete ones that linguists have focused on traditionally. |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 2 | 33% |
| Switzerland | 1 | 17% |
| Iceland | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 3% |
| Unknown | 30 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 19% |
| Student > Bachelor | 4 | 13% |
| Student > Master | 4 | 13% |
| Student > Doctoral Student | 3 | 10% |
| Professor | 3 | 10% |
| Other | 7 | 23% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 6 | 19% |
| Agricultural and Biological Sciences | 4 | 13% |
| Psychology | 4 | 13% |
| Neuroscience | 3 | 10% |
| Computer Science | 2 | 6% |
| Other | 6 | 19% |
| Unknown | 6 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 22 October 2015.
All research outputs
#13,243,031
of 23,344,526 outputs
Outputs from Frontiers in Psychology
#12,298
of 31,066 outputs
Outputs of similar age
#123,564
of 275,578 outputs
Outputs of similar age from Frontiers in Psychology
#238
of 538 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,066 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has gotten more attention than average, scoring higher than 59% 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 275,578 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 54% of its contemporaries.
We're also able to compare this research output to 538 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.