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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
37 Dimensions

Readers on

mendeley
201 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 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 201 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 19%
Student > Master 35 17%
Researcher 21 10%
Student > Bachelor 19 9%
Student > Doctoral Student 16 8%
Other 27 13%
Unknown 45 22%
Readers by discipline Count As %
Engineering 79 39%
Computer Science 32 16%
Business, Management and Accounting 10 5%
Design 9 4%
Social Sciences 8 4%
Other 14 7%
Unknown 49 24%

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
#12,652,132
of 19,198,440 outputs
Outputs from Procedia Manufacturing
#193
of 429 outputs
Outputs of similar age
#166,347
of 273,919 outputs
Outputs of similar age from Procedia Manufacturing
#1
of 1 outputs
Altmetric has tracked 19,198,440 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 429 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 30th percentile – i.e., 30% 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 273,919 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 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