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Requirements and Barriers for Introducing Smart Manufacturing in Small and Medium-Sized Enterprises

Overview of attention for article published in IEEE Engineering Management Review, July 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#20 of 123)
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

policy
2 policy sources

Readers on

mendeley
292 Mendeley
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Article details
Title
Requirements and Barriers for Introducing Smart Manufacturing in Small and Medium-Sized Enterprises
Published in
IEEE Engineering Management Review, July 2019
DOI 10.1109/emr.2019.2931564
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 292 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 292 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 39 13%
Student > Master 35 12%
Student > Doctoral Student 11 4%
Professor 11 4%
Student > Bachelor 9 3%
Other 36 12%
Unknown 151 52%
Readers by discipline
Readers by discipline Count As %
Engineering 62 21%
Business, Management and Accounting 38 13%
Economics, Econometrics and Finance 9 3%
Computer Science 6 2%
Arts and Humanities 4 1%
Other 10 3%
Unknown 163 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 21 June 2022.
All research outputs
#5,758,839
of 26,485,222 outputs
Outputs from IEEE Engineering Management Review
#20
of 123 outputs
Outputs of similar age
#102,167
of 362,257 outputs
Outputs of similar age from IEEE Engineering Management Review
#2
of 7 outputs
Altmetric has tracked 26,485,222 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 123 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 79% of its peers.
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 362,257 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.