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Digitalisation and employment in manufacturing

Overview of attention for article published in AI & SOCIETY, July 2017
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Mentioned by

twitter
1 X user

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
192 Mendeley
Title
Digitalisation and employment in manufacturing
Published in
AI & SOCIETY, July 2017
DOI 10.1007/s00146-017-0740-5
Authors

Daniela Freddi

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

Geographical breakdown

Country Count As %
Unknown 192 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 37 19%
Student > Ph. D. Student 25 13%
Researcher 11 6%
Student > Doctoral Student 10 5%
Student > Bachelor 10 5%
Other 26 14%
Unknown 73 38%
Readers by discipline Count As %
Engineering 35 18%
Business, Management and Accounting 29 15%
Computer Science 17 9%
Economics, Econometrics and Finance 14 7%
Social Sciences 7 4%
Other 13 7%
Unknown 77 40%
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 17 July 2017.
All research outputs
#16,454,538
of 24,217,893 outputs
Outputs from AI & SOCIETY
#511
of 760 outputs
Outputs of similar age
#201,438
of 315,863 outputs
Outputs of similar age from AI & SOCIETY
#11
of 15 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 760 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 17th percentile – i.e., 17% 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 315,863 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.