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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

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20 Dimensions

Readers on

mendeley
161 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 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 161 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 18%
Student > Ph. D. Student 28 17%
Researcher 19 12%
Student > Bachelor 19 12%
Student > Doctoral Student 12 7%
Other 23 14%
Unknown 31 19%
Readers by discipline Count As %
Engineering 63 39%
Computer Science 28 17%
Business, Management and Accounting 10 6%
Design 8 5%
Social Sciences 7 4%
Other 9 6%
Unknown 36 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
#10,654,483
of 16,649,729 outputs
Outputs from Procedia Manufacturing
#147
of 373 outputs
Outputs of similar age
#157,697
of 264,909 outputs
Outputs of similar age from Procedia Manufacturing
#1
of 1 outputs
Altmetric has tracked 16,649,729 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 373 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 32nd percentile – i.e., 32% 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 264,909 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