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Big data in manufacturing: a systematic mapping study

Overview of attention for article published in Journal of Big Data, September 2015
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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 (#33 of 337)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
15 tweeters
googleplus
2 Google+ users

Citations

dimensions_citation
109 Dimensions

Readers on

mendeley
531 Mendeley
Title
Big data in manufacturing: a systematic mapping study
Published in
Journal of Big Data, September 2015
DOI 10.1186/s40537-015-0028-x
Authors

Peter O’Donovan, Kevin Leahy, Ken Bruton, Dominic T. J. O’Sullivan

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters 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 531 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 <1%
Austria 1 <1%
Brazil 1 <1%
Unknown 528 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 131 25%
Student > Ph. D. Student 81 15%
Student > Bachelor 52 10%
Researcher 40 8%
Student > Doctoral Student 35 7%
Other 93 18%
Unknown 99 19%
Readers by discipline Count As %
Engineering 160 30%
Computer Science 118 22%
Business, Management and Accounting 65 12%
Social Sciences 16 3%
Unspecified 12 2%
Other 37 7%
Unknown 123 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 28 August 2016.
All research outputs
#1,414,656
of 22,880,691 outputs
Outputs from Journal of Big Data
#33
of 337 outputs
Outputs of similar age
#20,795
of 267,854 outputs
Outputs of similar age from Journal of Big Data
#5
of 8 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 337 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done particularly well, scoring higher than 90% 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 267,854 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.