Title |
Detecting violent and abnormal crowd activity using temporal analysis of grey level co-occurrence matrix (GLCM)-based texture measures
|
---|---|
Published in |
Machine Vision and Applications, March 2017
|
DOI | 10.1007/s00138-017-0830-x |
Authors |
Kaelon Lloyd, Paul L. Rosin, David Marshall, Simon C. Moore |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 101 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 16 | 16% |
Student > Ph. D. Student | 14 | 14% |
Researcher | 11 | 11% |
Student > Bachelor | 9 | 9% |
Student > Doctoral Student | 5 | 5% |
Other | 12 | 12% |
Unknown | 34 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 38 | 38% |
Engineering | 15 | 15% |
Social Sciences | 4 | 4% |
Business, Management and Accounting | 3 | 3% |
Psychology | 1 | <1% |
Other | 1 | <1% |
Unknown | 39 | 39% |
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 14 December 2018.
All research outputs
#7,845,540
of 23,794,258 outputs
Outputs from Machine Vision and Applications
#162
of 551 outputs
Outputs of similar age
#122,324
of 310,762 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. 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 551 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 40th percentile – i.e., 40% 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 310,762 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 52% 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