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Human-machine Collaboration in Virtual Reality for Adaptive Production Engineering

Overview of attention for article published in Procedia Manufacturing, January 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
149 Mendeley
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Title
Human-machine Collaboration in Virtual Reality for Adaptive Production Engineering
Published in
Procedia Manufacturing, January 2017
DOI 10.1016/j.promfg.2017.07.255
Authors

Andrea de Giorgio, Mario Romero, Mauro Onori, Lihui Wang

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 149 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 18%
Student > Ph. D. Student 26 17%
Student > Bachelor 18 12%
Researcher 17 11%
Student > Doctoral Student 11 7%
Other 23 15%
Unknown 27 18%
Readers by discipline Count As %
Engineering 59 40%
Computer Science 26 17%
Design 8 5%
Business, Management and Accounting 8 5%
Social Sciences 7 5%
Other 8 5%
Unknown 33 22%

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 24 October 2020.
All research outputs
#10,384,828
of 16,267,753 outputs
Outputs from Procedia Manufacturing
#141
of 356 outputs
Outputs of similar age
#157,063
of 263,955 outputs
Outputs of similar age from Procedia Manufacturing
#1
of 1 outputs
Altmetric has tracked 16,267,753 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 356 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 33rd percentile – i.e., 33% 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 263,955 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% 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