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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CHIELD: the causal hypotheses in evolutionary linguistics database
|
|---|---|
| Published in |
Journal of Language Evolution, April 2020
|
| DOI | 10.1093/jole/lzaa001 |
| Authors |
Seán G Roberts, Anton Killin, Angarika Deb, Catherine Sheard, Simon J Greenhill, Kaius Sinnemäki, José Segovia-Martín, Jonas Nölle, Aleksandrs Berdicevskis, Archie Humphreys-Balkwill, Hannah Little, Christopher Opie, Guillaume Jacques, Lindell Bromham, Peeter Tinits, Robert M Ross, Sean Lee, Emily Gasser, Jasmine Calladine, Matthew Spike, Stephen Francis Mann, Olena Shcherbakova, Ruth Singer, Shuya Zhang, Antonio Benítez-Burraco, Christian Kliesch, Ewan Thomas-Colquhoun, Hedvig Skirgård, Monica Tamariz, Sam Passmore, Thomas Pellard, Fiona Jordan |
X Demographics
The data shown below were collected from the profiles of 81 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 | 11 | 14% |
| United States | 9 | 11% |
| Germany | 8 | 10% |
| Netherlands | 4 | 5% |
| Australia | 4 | 5% |
| Spain | 3 | 4% |
| Canada | 2 | 2% |
| Norway | 1 | 1% |
| Finland | 1 | 1% |
| Other | 8 | 10% |
| Unknown | 30 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 54 | 67% |
| Scientists | 26 | 32% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 18% |
| Student > Ph. D. Student | 3 | 14% |
| Researcher | 2 | 9% |
| Student > Master | 2 | 9% |
| Lecturer | 1 | 5% |
| Other | 4 | 18% |
| Unknown | 6 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 4 | 18% |
| Immunology and Microbiology | 2 | 9% |
| Engineering | 2 | 9% |
| Agricultural and Biological Sciences | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 5 | 23% |
| Unknown | 7 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 54. 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 March 2024.
All research outputs
#794,067
of 25,754,670 outputs
Outputs from Journal of Language Evolution
#5
of 85 outputs
Outputs of similar age
#22,370
of 388,465 outputs
Outputs of similar age from Journal of Language Evolution
#1
of 3 outputs
Altmetric has tracked 25,754,670 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 85 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has done particularly well, scoring higher than 94% 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 388,465 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 94% of its contemporaries.
We're also able to compare this research output to 3 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