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Precision Work-piece Detection and Measurement Combining Top-down and Bottom-up Saliency

Overview of attention for article published in Machine Intelligence Research, May 2018
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Mentioned by

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1 X user

Citations

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7 Dimensions

Readers on

mendeley
6 Mendeley
Title
Precision Work-piece Detection and Measurement Combining Top-down and Bottom-up Saliency
Published in
Machine Intelligence Research, May 2018
DOI 10.1007/s11633-018-1123-1
Authors

Jia Sun, Peng Wang, Yong-Kang Luo, Gao-Ming Hao, Hong Qiao

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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Student > Bachelor 1 17%
Unknown 3 50%
Readers by discipline Count As %
Computer Science 1 17%
Social Sciences 1 17%
Design 1 17%
Unknown 3 50%
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 17 January 2019.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Machine Intelligence Research
#228
of 444 outputs
Outputs of similar age
#268,171
of 344,113 outputs
Outputs of similar age from Machine Intelligence Research
#7
of 18 outputs
Altmetric has tracked 25,382,440 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 444 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 1st percentile – i.e., 1% 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 344,113 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 18 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.