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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of Behaviour in Freely Moving Dogs (Canis familiaris) Using Inertial Sensors
|
|---|---|
| Published in |
PLOS ONE, October 2013
|
| DOI | 10.1371/journal.pone.0077814 |
| Pubmed ID | |
| Authors |
Linda Gerencsér, Gábor Vásárhelyi, Máté Nagy, Tamas Vicsek, Adam Miklósi |
X Demographics
The data shown below were collected from the profiles of 15 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 | 13% |
| United Kingdom | 1 | 7% |
| Japan | 1 | 7% |
| Italy | 1 | 7% |
| Hong Kong | 1 | 7% |
| Hungary | 1 | 7% |
| Russia | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 73% |
| Scientists | 2 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 2 | 1% |
| Austria | 1 | <1% |
| United Kingdom | 1 | <1% |
| Denmark | 1 | <1% |
| China | 1 | <1% |
| Unknown | 182 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 22% |
| Student > Bachelor | 31 | 16% |
| Researcher | 25 | 13% |
| Student > Master | 17 | 9% |
| Professor > Associate Professor | 9 | 5% |
| Other | 26 | 14% |
| Unknown | 39 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 27% |
| Engineering | 20 | 11% |
| Computer Science | 14 | 7% |
| Veterinary Science and Veterinary Medicine | 12 | 6% |
| Medicine and Dentistry | 8 | 4% |
| Other | 35 | 19% |
| Unknown | 48 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 06 June 2023.
All research outputs
#1,741,119
of 25,837,817 outputs
Outputs from PLOS ONE
#21,274
of 224,660 outputs
Outputs of similar age
#15,730
of 226,758 outputs
Outputs of similar age from PLOS ONE
#560
of 5,215 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 90% 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 226,758 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 92% of its contemporaries.
We're also able to compare this research output to 5,215 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.