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Twitter Demographics
Mendeley readers
Attention Score in Context
Title |
ICC++: Explainable feature learning for art history using image compositions
|
---|---|
Published in |
Pattern Recognition, April 2023
|
DOI | 10.1016/j.patcog.2022.109153 |
Authors |
Prathmesh Madhu, Tilman Marquart, Ronak Kosti, Dirk Suckow, Peter Bell, Andreas Maier, Vincent Christlein |
Twitter Demographics
The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 4 | 67% |
Netherlands | 1 | 17% |
Brazil | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 50% |
Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer > Senior Lecturer | 1 | 14% |
Lecturer | 1 | 14% |
Student > Ph. D. Student | 1 | 14% |
Student > Master | 1 | 14% |
Student > Postgraduate | 1 | 14% |
Other | 0 | 0% |
Unknown | 2 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 57% |
Business, Management and Accounting | 1 | 14% |
Unknown | 2 | 29% |
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 28 November 2022.
All research outputs
#6,399,669
of 24,417,958 outputs
Outputs from Pattern Recognition
#725
of 2,742 outputs
Outputs of similar age
#109,864
of 404,464 outputs
Outputs of similar age from Pattern Recognition
#3
of 25 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,742 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 73% 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 404,464 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 72% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.