| Title |
Crowd analysis: a survey
|
|---|---|
| Published in |
Machine Vision and Applications, April 2008
|
| DOI | 10.1007/s00138-008-0132-4 |
| Authors |
Beibei Zhan, Dorothy N. Monekosso, Paolo Remagnino, Sergio A. Velastin, Li-Qun Xu |
Mendeley readers
The data shown below were compiled from readership statistics for 493 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 2% |
| Japan | 6 | 1% |
| United Kingdom | 6 | 1% |
| Germany | 4 | <1% |
| Spain | 3 | <1% |
| China | 3 | <1% |
| Turkey | 2 | <1% |
| Brazil | 2 | <1% |
| Montenegro | 1 | <1% |
| Other | 17 | 3% |
| Unknown | 440 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 147 | 30% |
| Student > Master | 90 | 18% |
| Researcher | 67 | 14% |
| Student > Bachelor | 28 | 6% |
| Professor > Associate Professor | 24 | 5% |
| Other | 73 | 15% |
| Unknown | 64 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 246 | 50% |
| Engineering | 112 | 23% |
| Social Sciences | 12 | 2% |
| Business, Management and Accounting | 7 | 1% |
| Mathematics | 6 | 1% |
| Other | 28 | 6% |
| Unknown | 82 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 February 2023.
All research outputs
#2,605,952
of 23,794,258 outputs
Outputs from Machine Vision and Applications
#8
of 551 outputs
Outputs of similar age
#7,158
of 83,403 outputs
Outputs of similar age from Machine Vision and Applications
#1
of 5 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 551 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 96% 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 83,403 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 90% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them