| Title |
Vision-based vehicle detection and counting system using deep learning in highway scenes
|
|---|---|
| Published in |
European Transport Research Review, December 2019
|
| DOI | 10.1186/s12544-019-0390-4 |
| Authors |
Huansheng Song, Haoxiang Liang, Huaiyu Li, Zhe Dai, Xu Yun |
Mendeley readers
The data shown below were compiled from readership statistics for 363 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 363 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 42 | 12% |
| Student > Master | 33 | 9% |
| Student > Ph. D. Student | 30 | 8% |
| Researcher | 16 | 4% |
| Lecturer | 13 | 4% |
| Other | 32 | 9% |
| Unknown | 197 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 82 | 23% |
| Engineering | 58 | 16% |
| Business, Management and Accounting | 5 | 1% |
| Earth and Planetary Sciences | 2 | <1% |
| Economics, Econometrics and Finance | 2 | <1% |
| Other | 13 | 4% |
| Unknown | 201 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 01 August 2023.
All research outputs
#8,062,481
of 24,220,739 outputs
Outputs from European Transport Research Review
#117
of 280 outputs
Outputs of similar age
#167,913
of 464,642 outputs
Outputs of similar age from European Transport Research Review
#5
of 9 outputs
Altmetric has tracked 24,220,739 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 280 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 464,642 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 55% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.