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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Asynchronous, Photometric Feature Tracking Using Events and Frames
|
|---|---|
| Chapter number | 46 |
| Book title |
Computer Vision – ECCV 2018
|
| Published in |
arXiv, September 2018
|
| DOI | 10.1007/978-3-030-01258-8_46 |
| Book ISBNs |
978-3-03-001257-1, 978-3-03-001258-8
|
| Authors |
Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza, Gehrig, Daniel, Rebecq, Henri, Gallego, Guillermo, Scaramuzza, Davide |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 135 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 24% |
| Student > Master | 21 | 16% |
| Researcher | 14 | 10% |
| Student > Bachelor | 10 | 7% |
| Student > Doctoral Student | 4 | 3% |
| Other | 10 | 7% |
| Unknown | 43 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 48 | 36% |
| Engineering | 37 | 27% |
| Economics, Econometrics and Finance | 1 | <1% |
| Mathematics | 1 | <1% |
| Earth and Planetary Sciences | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 46 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 21 February 2023.
All research outputs
#3,357,076
of 24,002,307 outputs
Outputs from arXiv
#62,724
of 1,011,770 outputs
Outputs of similar age
#67,238
of 339,604 outputs
Outputs of similar age from arXiv
#1,578
of 24,323 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 93% 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 339,604 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 24,323 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 93% of its contemporaries.