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Mendeley readers
Attention Score in Context
| Title |
1-Point-RANSAC Structure from Motion for Vehicle-Mounted Cameras by Exploiting Non-holonomic Constraints
|
|---|---|
| Published in |
International Journal of Computer Vision, April 2011
|
| DOI | 10.1007/s11263-011-0441-3 |
| Authors |
Davide Scaramuzza |
Mendeley readers
The data shown below were compiled from readership statistics for 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Germany | 3 | 1% |
| Switzerland | 1 | <1% |
| Chile | 1 | <1% |
| France | 1 | <1% |
| Austria | 1 | <1% |
| Portugal | 1 | <1% |
| Singapore | 1 | <1% |
| Belgium | 1 | <1% |
| Other | 6 | 3% |
| Unknown | 191 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 62 | 29% |
| Student > Ph. D. Student | 55 | 26% |
| Researcher | 32 | 15% |
| Student > Bachelor | 11 | 5% |
| Student > Doctoral Student | 6 | 3% |
| Other | 19 | 9% |
| Unknown | 27 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 91 | 43% |
| Engineering | 83 | 39% |
| Business, Management and Accounting | 2 | <1% |
| Physics and Astronomy | 2 | <1% |
| Nursing and Health Professions | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 30 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 17 January 2023.
All research outputs
#3,625,341
of 24,535,155 outputs
Outputs from International Journal of Computer Vision
#117
of 1,310 outputs
Outputs of similar age
#16,258
of 112,777 outputs
Outputs of similar age from International Journal of Computer Vision
#2
of 10 outputs
Altmetric has tracked 24,535,155 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,310 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 done well, scoring higher than 85% 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 112,777 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 83% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.