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Research on geometric dimension measurement system of shaft parts based on machine vision

Overview of attention for article published in EURASIP Journal on Image and Video Processing, October 2018
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Mentioned by

twitter
1 X user

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
55 Mendeley
Title
Research on geometric dimension measurement system of shaft parts based on machine vision
Published in
EURASIP Journal on Image and Video Processing, October 2018
DOI 10.1186/s13640-018-0339-x
Authors

Bin Li

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 13%
Student > Ph. D. Student 7 13%
Student > Bachelor 4 7%
Researcher 4 7%
Lecturer 2 4%
Other 5 9%
Unknown 26 47%
Readers by discipline Count As %
Engineering 18 33%
Computer Science 5 9%
Mathematics 1 2%
Nursing and Health Professions 1 2%
Energy 1 2%
Other 3 5%
Unknown 26 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 October 2018.
All research outputs
#20,663,600
of 25,385,509 outputs
Outputs from EURASIP Journal on Image and Video Processing
#163
of 233 outputs
Outputs of similar age
#275,628
of 354,905 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#11
of 22 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 233 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 14th percentile – i.e., 14% 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 354,905 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.