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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Do we really need an accurate calibration pattern to achieve a reliable camera calibration?
|
|---|---|
| Book title |
Computer Vision — ECCV'98
|
| Published in |
Lecture notes in computer science, June 1998
|
| DOI | 10.1007/bfb0055665 |
| Book ISBNs |
978-3-54-064569-6, 978-3-54-069354-3
|
| Authors |
Jean -Marc Lavest, Marc Viala, M. Dhome, Lavest, Jean -Marc, Viala, Marc, Dhome, M. |
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 % |
|---|---|---|
| Japan | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 4 | 5% |
| United States | 2 | 2% |
| Spain | 2 | 2% |
| Canada | 2 | 2% |
| Australia | 1 | 1% |
| Brazil | 1 | 1% |
| Iceland | 1 | 1% |
| Unknown | 70 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 33% |
| Researcher | 14 | 17% |
| Student > Master | 7 | 8% |
| Student > Doctoral Student | 6 | 7% |
| Professor > Associate Professor | 5 | 6% |
| Other | 10 | 12% |
| Unknown | 14 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 28 | 34% |
| Engineering | 25 | 30% |
| Physics and Astronomy | 3 | 4% |
| Medicine and Dentistry | 3 | 4% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 6 | 7% |
| Unknown | 17 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 28 March 2015.
All research outputs
#13,331,494
of 22,796,179 outputs
Outputs from Lecture notes in computer science
#3,965
of 8,127 outputs
Outputs of similar age
#31,239
of 34,157 outputs
Outputs of similar age from Lecture notes in computer science
#12
of 15 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 51% 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 34,157 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.