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A new chain-processing-based computer vision system for automatic checking of machining set-up application for machine tools safety

Overview of attention for article published in The International Journal of Advanced Manufacturing Technology, July 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
10 Mendeley
Title
A new chain-processing-based computer vision system for automatic checking of machining set-up application for machine tools safety
Published in
The International Journal of Advanced Manufacturing Technology, July 2015
DOI 10.1007/s00170-015-7438-y
Authors

Bilal Karabagli, Thierry Simon, Jean-José Orteu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 50%
Student > Doctoral Student 1 10%
Other 1 10%
Professor 1 10%
Student > Bachelor 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Engineering 5 50%
Nursing and Health Professions 1 10%
Materials Science 1 10%
Computer Science 1 10%
Unknown 2 20%
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 17 November 2016.
All research outputs
#7,846,128
of 23,794,258 outputs
Outputs from The International Journal of Advanced Manufacturing Technology
#264
of 1,230 outputs
Outputs of similar age
#90,408
of 263,579 outputs
Outputs of similar age from The International Journal of Advanced Manufacturing Technology
#9
of 31 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 1,230 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 29th percentile – i.e., 29% 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 263,579 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 56% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.