| Title |
Edges: saliency measures and automatic thresholding
|
|---|---|
| Published in |
Machine Vision and Applications, February 1997
|
| DOI | 10.1007/s001380050036 |
| Authors |
Paul L. Rosin |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 7% |
| United States | 2 | 7% |
| Switzerland | 1 | 4% |
| Germany | 1 | 4% |
| Australia | 1 | 4% |
| Austria | 1 | 4% |
| Spain | 1 | 4% |
| United Kingdom | 1 | 4% |
| Unknown | 18 | 64% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 32% |
| Researcher | 5 | 18% |
| Other | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 5 | 18% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 71% |
| Engineering | 3 | 11% |
| Mathematics | 1 | 4% |
| Social Sciences | 1 | 4% |
| Earth and Planetary Sciences | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 2 | 7% |
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 14 October 2015.
All research outputs
#3,460,684
of 23,794,258 outputs
Outputs from Machine Vision and Applications
#28
of 551 outputs
Outputs of similar age
#4,833
of 94,024 outputs
Outputs of similar age from Machine Vision and Applications
#1
of 6 outputs
Altmetric has tracked 23,794,258 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 551 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 90% 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 94,024 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them