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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Efficiently Annotating Object Images with Absolute Size Information Using Mobile Devices
|
|---|---|
| Published in |
International Journal of Computer Vision, May 2018
|
| DOI | 10.1007/s11263-018-1093-3 |
| Authors |
Martin Hofmann, Marco Seeland, Patrick Mäder |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Unknown | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 17% |
| Student > Bachelor | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Master | 3 | 13% |
| Professor | 3 | 13% |
| Other | 4 | 17% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 26% |
| Medicine and Dentistry | 3 | 13% |
| Agricultural and Biological Sciences | 3 | 13% |
| Engineering | 2 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 4 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 27 August 2023.
All research outputs
#5,917,762
of 24,336,902 outputs
Outputs from International Journal of Computer Vision
#365
of 1,291 outputs
Outputs of similar age
#96,634
of 334,534 outputs
Outputs of similar age from International Journal of Computer Vision
#7
of 13 outputs
Altmetric has tracked 24,336,902 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,291 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 71% 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 334,534 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 70% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.