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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Advances in Computer Vision
|
|---|---|
| Published by |
arXiv, July 2019
|
| DOI | 10.1007/978-3-030-17795-9 |
| ISBNs |
978-3-03-017794-2, 978-3-03-017795-9
|
| Authors |
Niall O' Mahony, Sean Campbell, Anderson Carvalho, Suman Harapanahalli, Gustavo Velasco-Hernandez, Lenka Krpalkova, Daniel Riordan, Joseph Walsh |
| Editors |
Arai, Kohei, Kapoor, Supriya |
X Demographics
The data shown below were collected from the profiles of 33 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 | 9% |
| Japan | 3 | 9% |
| France | 1 | 3% |
| Canada | 1 | 3% |
| Sweden | 1 | 3% |
| Germany | 1 | 3% |
| India | 1 | 3% |
| Netherlands | 1 | 3% |
| Unknown | 21 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 85% |
| Scientists | 4 | 12% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 190 | 3800% |
| Student > Bachelor | 171 | 3420% |
| Student > Ph. D. Student | 142 | 2840% |
| Researcher | 83 | 1660% |
| Lecturer | 42 | 840% |
| Other | 131 | 2620% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 311 | 6220% |
| Engineering | 247 | 4940% |
| Agricultural and Biological Sciences | 26 | 520% |
| Mathematics | 13 | 260% |
| Physics and Astronomy | 13 | 260% |
| Other | 117 | 2340% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 30 April 2022.
All research outputs
#981,759
of 25,806,080 outputs
Outputs from arXiv
#13,234
of 945,965 outputs
Outputs of similar age
#20,863
of 361,831 outputs
Outputs of similar age from arXiv
#342
of 20,833 outputs
Altmetric has tracked 25,806,080 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 945,965 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 98% 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 361,831 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 20,833 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 98% of its contemporaries.