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An innovative methodology for detection and quantification of cracks through incorporation of depth perception

Overview of attention for article published in Machine Vision and Applications, December 2011
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
3 patents

Citations

dimensions_citation
209 Dimensions

Readers on

mendeley
213 Mendeley
citeulike
1 CiteULike
Title
An innovative methodology for detection and quantification of cracks through incorporation of depth perception
Published in
Machine Vision and Applications, December 2011
DOI 10.1007/s00138-011-0394-0
Authors

Mohammad R. Jahanshahi, Sami F. Masri, Curtis W. Padgett, Gaurav S. Sukhatme

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Malaysia 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Greece 1 <1%
Unknown 207 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 29%
Student > Master 35 16%
Researcher 19 9%
Student > Doctoral Student 11 5%
Student > Bachelor 10 5%
Other 32 15%
Unknown 45 21%
Readers by discipline Count As %
Engineering 113 53%
Computer Science 25 12%
Psychology 4 2%
Earth and Planetary Sciences 3 1%
Physics and Astronomy 2 <1%
Other 7 3%
Unknown 59 28%
Attention Score in Context

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 08 December 2020.
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
#72,479
of 248,470 outputs
Outputs of similar age from Machine Vision and Applications
#5
of 11 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 248,470 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.