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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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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

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48 Dimensions

Readers on

mendeley
228 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

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 228 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 18%
Student > Master 35 15%
Researcher 21 9%
Student > Doctoral Student 18 8%
Student > Bachelor 18 8%
Other 30 13%
Unknown 66 29%
Readers by discipline Count As %
Engineering 79 35%
Computer Science 32 14%
Business, Management and Accounting 10 4%
Social Sciences 10 4%
Design 10 4%
Other 16 7%
Unknown 71 31%
Attention Score in Context

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
#15,577,567
of 23,153,184 outputs
Outputs from Procedia Manufacturing
#269
of 531 outputs
Outputs of similar age
#257,989
of 421,873 outputs
Outputs of similar age from Procedia Manufacturing
#53
of 128 outputs
Altmetric has tracked 23,153,184 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 531 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 26th percentile – i.e., 26% 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 421,873 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.