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Artificial Intelligence Control in 4D Cylindrical Space for Industrial Robotic Applications

Overview of attention for article published in IEEE Access, January 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
14 Mendeley
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Title
Artificial Intelligence Control in 4D Cylindrical Space for Industrial Robotic Applications
Published in
IEEE Access, January 2020
DOI 10.1109/access.2020.3026193
Authors

Andrea de Giorgio, Lihui Wang

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Student > Postgraduate 2 14%
Student > Master 2 14%
Student > Bachelor 1 7%
Professor 1 7%
Other 3 21%
Unknown 2 14%
Readers by discipline Count As %
Engineering 4 29%
Computer Science 3 21%
Business, Management and Accounting 2 14%
Unspecified 1 7%
Mathematics 1 7%
Other 0 0%
Unknown 3 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 11 October 2020.
All research outputs
#5,203,835
of 19,069,422 outputs
Outputs from IEEE Access
#822
of 4,609 outputs
Outputs of similar age
#110,774
of 321,814 outputs
Outputs of similar age from IEEE Access
#1
of 1 outputs
Altmetric has tracked 19,069,422 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,609 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 82% of its peers.
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 321,814 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 65% of its contemporaries.
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