| Title |
Fast template matching using bounded partial correlation
|
|---|---|
| Published in |
Machine Vision and Applications, February 2003
|
| DOI | 10.1007/s00138-002-0070-5 |
| Authors |
Luigi Di Stefano, Stefano Mattoccia |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 7% |
| China | 1 | 3% |
| France | 1 | 3% |
| Belgium | 1 | 3% |
| Unknown | 25 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 20% |
| Researcher | 5 | 17% |
| Student > Master | 4 | 13% |
| Student > Doctoral Student | 3 | 10% |
| Lecturer | 2 | 7% |
| Other | 7 | 23% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 40% |
| Engineering | 9 | 30% |
| Agricultural and Biological Sciences | 1 | 3% |
| Unspecified | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 5 | 17% |
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 20 October 2015.
All research outputs
#7,845,540
of 23,794,258 outputs
Outputs from Machine Vision and Applications
#162
of 551 outputs
Outputs of similar age
#31,842
of 129,739 outputs
Outputs of similar age from Machine Vision and Applications
#3
of 7 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 551 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 129,739 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.