Computer Vision – ECCV 2020 Workshops
Springer International Publishing
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Twitter Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison
|
|---|---|
| Book title |
Computer Vision – ECCV 2020 Workshops
|
| Published in |
arXiv, January 2021
|
| DOI | 10.1007/978-3-030-66415-2_8 |
| Book ISBNs |
978-3-03-066414-5, 978-3-03-066415-2
|
| Authors |
Lukas Brunke, Prateek Agrawal, Nikhil George, Brunke, Lukas, Agrawal, Prateek, George, Nikhil |
Twitter Demographics
The data shown below were collected from the profiles of 3 tweeters 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 1 | 25% |
| Student > Doctoral Student | 1 | 25% |
| Student > Master | 1 | 25% |
| Unknown | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 25% |
| Engineering | 1 | 25% |
| Unknown | 2 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 26 January 2022.
All research outputs
#6,613,024
of 24,093,053 outputs
Outputs from arXiv
#137,556
of 1,020,419 outputs
Outputs of similar age
#157,640
of 508,245 outputs
Outputs of similar age from arXiv
#4,526
of 31,232 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 86% 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 508,245 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 31,232 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.