| Title |
Discrete derivative approximations with scale-space properties: A basis for low-level feature extraction
|
|---|---|
| Published in |
Journal of Mathematical Imaging and Vision, November 1993
|
| DOI | 10.1007/bf01664794 |
| URN |
urn:nbn:se:kth:diva-58572
|
| Authors |
Tony Lindeberg |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 3% |
| United States | 3 | 3% |
| United Kingdom | 3 | 3% |
| Spain | 2 | 2% |
| Italy | 1 | 1% |
| Brazil | 1 | 1% |
| Malaysia | 1 | 1% |
| India | 1 | 1% |
| Canada | 1 | 1% |
| Other | 5 | 5% |
| Unknown | 76 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 30% |
| Student > Ph. D. Student | 19 | 20% |
| Student > Master | 13 | 13% |
| Other | 8 | 8% |
| Professor > Associate Professor | 5 | 5% |
| Other | 16 | 16% |
| Unknown | 7 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 41 | 42% |
| Engineering | 24 | 25% |
| Physics and Astronomy | 7 | 7% |
| Agricultural and Biological Sciences | 5 | 5% |
| Mathematics | 2 | 2% |
| Other | 11 | 11% |
| Unknown | 7 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 15 May 2022.
All research outputs
#4,696,232
of 22,786,691 outputs
Outputs from Journal of Mathematical Imaging and Vision
#18
of 292 outputs
Outputs of similar age
#2,488
of 21,535 outputs
Outputs of similar age from Journal of Mathematical Imaging and Vision
#1
of 1 outputs
Altmetric has tracked 22,786,691 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 292 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 88% 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 21,535 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 75% of its contemporaries.
We're also able to compare this research output to 1 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