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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Persistent animal identification leveraging non-visual markers
|
---|---|
Published in |
Machine Vision and Applications, July 2023
|
DOI | 10.1007/s00138-023-01414-1 |
Pubmed ID | |
Authors |
Michael P. J. Camilleri, Li Zhang, Rasneer S. Bains, Andrew Zisserman, Christopher K. I. Williams |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 17% |
Japan | 1 | 17% |
Unknown | 4 | 67% |
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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 2 | 25% |
Student > Ph. D. Student | 1 | 13% |
Student > Master | 1 | 13% |
Unknown | 4 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 2 | 25% |
Agricultural and Biological Sciences | 1 | 13% |
Engineering | 1 | 13% |
Unknown | 4 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 24 July 2023.
All research outputs
#7,692,506
of 25,202,494 outputs
Outputs from Machine Vision and Applications
#165
of 589 outputs
Outputs of similar age
#115,390
of 351,580 outputs
Outputs of similar age from Machine Vision and Applications
#1
of 14 outputs
Altmetric has tracked 25,202,494 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 589 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 72% 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 351,580 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 67% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.