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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
A Computer Vision System to Localize and Classify Wastes on the Streets
|
---|---|
Chapter number | 18 |
Book title |
Computer Vision Systems
|
Published in |
arXiv, July 2017
|
DOI | 10.1007/978-3-319-68345-4_18 |
Book ISBNs |
978-3-31-968344-7, 978-3-31-968345-4
|
Authors |
Mohammad Saeed Rad, Andreas von Kaenel, Andre Droux, Francois Tieche, Nabil Ouerhani, Hazım Kemal Ekenel, Jean-Philippe Thiran, Hazim Kemal Ekenel, Rad, Mohammad Saeed, Kaenel, Andreas von, Droux, Andre, Tieche, Francois, Ouerhani, Nabil, Ekenel, Hazım Kemal, Thiran, Jean-Philippe |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 96 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 21 | 22% |
Researcher | 11 | 11% |
Student > Bachelor | 8 | 8% |
Student > Ph. D. Student | 8 | 8% |
Lecturer | 5 | 5% |
Other | 9 | 9% |
Unknown | 34 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 26 | 27% |
Computer Science | 24 | 25% |
Economics, Econometrics and Finance | 2 | 2% |
Earth and Planetary Sciences | 1 | 1% |
Environmental Science | 1 | 1% |
Other | 2 | 2% |
Unknown | 40 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 23 January 2024.
All research outputs
#1,187,515
of 25,263,619 outputs
Outputs from arXiv
#17,477
of 1,031,272 outputs
Outputs of similar age
#23,367
of 318,504 outputs
Outputs of similar age from arXiv
#365
of 16,671 outputs
Altmetric has tracked 25,263,619 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,031,272 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 98% 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 318,504 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 16,671 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 97% of its contemporaries.