| Title |
Monkey semantics: two ‘dialects’ of Campbell’s monkey alarm calls
|
|---|---|
| Published in |
Linguistics and Philosophy, November 2014
|
| DOI | 10.1007/s10988-014-9155-7 |
| Authors |
Philippe Schlenker, Emmanuel Chemla, Kate Arnold, Alban Lemasson, Karim Ouattara, Sumir Keenan, Claudia Stephan, Robin Ryder, Klaus Zuberbühler |
X Demographics
The data shown below were collected from the profiles of 14 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 | 3 | 21% |
| Canada | 1 | 7% |
| Russia | 1 | 7% |
| Norway | 1 | 7% |
| Spain | 1 | 7% |
| Japan | 1 | 7% |
| Unknown | 6 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 57% |
| Scientists | 6 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| France | 1 | <1% |
| Ghana | 1 | <1% |
| Australia | 1 | <1% |
| Czechia | 1 | <1% |
| United Kingdom | 1 | <1% |
| China | 1 | <1% |
| United States | 1 | <1% |
| Luxembourg | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 114 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 24% |
| Student > Master | 25 | 20% |
| Researcher | 16 | 13% |
| Student > Bachelor | 11 | 9% |
| Student > Doctoral Student | 6 | 5% |
| Other | 17 | 14% |
| Unknown | 19 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 33% |
| Linguistics | 25 | 20% |
| Psychology | 20 | 16% |
| Social Sciences | 6 | 5% |
| Arts and Humanities | 3 | 2% |
| Other | 7 | 6% |
| Unknown | 22 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 114. 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 03 August 2023.
All research outputs
#342,669
of 24,201,556 outputs
Outputs from Linguistics and Philosophy
#2
of 241 outputs
Outputs of similar age
#4,154
of 370,771 outputs
Outputs of similar age from Linguistics and Philosophy
#1
of 2 outputs
Altmetric has tracked 24,201,556 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 241 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 99% 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 370,771 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them