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Intelligent sensory decision-making for error identification in autonomous robotic systems

Overview of attention for article published in The International Journal of Advanced Manufacturing Technology, November 1993
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Mentioned by

patent
11 patents

Readers on

mendeley
2 Mendeley
Title
Intelligent sensory decision-making for error identification in autonomous robotic systems
Published in
The International Journal of Advanced Manufacturing Technology, November 1993
DOI 10.1007/bf01751099
Authors

H. C. Shen, W. P. Yan, G. E. Taylor

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 50%
Unknown 1 50%
Readers by discipline Count As %
Engineering 1 50%
Unknown 1 50%
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 26 March 2019.
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
#6,367
of 22,061 outputs
Outputs of similar age from The International Journal of Advanced Manufacturing Technology
#1
of 1 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 22,061 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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