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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Vehicle Classification Based on Convolutional Networks Applied to FMCW Radar Signals
|
|---|---|
| Chapter number | 9 |
| Book title |
Traffic Mining Applied to Police Activities
|
| Published in |
arXiv, October 2017
|
| DOI | 10.1007/978-3-319-75608-0_9 |
| Book ISBNs |
978-3-31-975607-3, 978-3-31-975608-0
|
| Authors |
Samuele Capobianco, Luca Facheris, Fabrizio Cuccoli, Simone Marinai, Capobianco, Samuele, Facheris, Luca, Cuccoli, Fabrizio, Marinai, Simone |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 20% |
| United States | 1 | 20% |
| Germany | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 23% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Bachelor | 5 | 12% |
| Researcher | 4 | 9% |
| Other | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 10 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 40% |
| Computer Science | 12 | 28% |
| Physics and Astronomy | 2 | 5% |
| Unknown | 12 | 28% |
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 20 September 2022.
All research outputs
#4,062,212
of 24,476,221 outputs
Outputs from arXiv
#73,698
of 985,640 outputs
Outputs of similar age
#70,124
of 332,600 outputs
Outputs of similar age from arXiv
#1,529
of 19,854 outputs
Altmetric has tracked 24,476,221 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 985,640 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 92% 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 332,600 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 78% of its contemporaries.
We're also able to compare this research output to 19,854 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.