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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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

twitter
6 tweeters

Readers on

mendeley
6 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 6 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 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 > Postgraduate 2 33%
Professor 1 17%
Unspecified 1 17%
Student > Doctoral Student 1 17%
Unknown 1 17%
Readers by discipline Count As %
Business, Management and Accounting 2 33%
Mathematics 1 17%
Computer Science 1 17%
Unknown 2 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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
#3,956,789
of 16,181,182 outputs
Outputs from IEEE Access
#377
of 2,527 outputs
Outputs of similar age
#85,885
of 287,456 outputs
Outputs of similar age from IEEE Access
#1
of 1 outputs
Altmetric has tracked 16,181,182 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,527 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 84% 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 287,456 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 69% 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