| Title |
An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities
|
|---|---|
| Published in |
Journal of Big Data, November 2015
|
| DOI | 10.1186/s40537-015-0034-z |
| Authors |
P. O’Donovan, K. Leahy, K. Bruton, D. T. J. O’Sullivan |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 19% |
| France | 1 | 6% |
| Japan | 1 | 6% |
| Tunisia | 1 | 6% |
| Switzerland | 1 | 6% |
| Ireland | 1 | 6% |
| Unknown | 8 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 94% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 572 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Netherlands | 1 | <1% |
| Ireland | 1 | <1% |
| Unknown | 569 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 123 | 22% |
| Student > Ph. D. Student | 93 | 16% |
| Student > Bachelor | 45 | 8% |
| Student > Doctoral Student | 38 | 7% |
| Researcher | 37 | 6% |
| Other | 76 | 13% |
| Unknown | 160 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 169 | 30% |
| Computer Science | 113 | 20% |
| Business, Management and Accounting | 62 | 11% |
| Social Sciences | 9 | 2% |
| Economics, Econometrics and Finance | 9 | 2% |
| Other | 25 | 4% |
| Unknown | 185 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 01 December 2015.
All research outputs
#2,540,108
of 23,577,761 outputs
Outputs from Journal of Big Data
#52
of 356 outputs
Outputs of similar age
#33,272
of 253,919 outputs
Outputs of similar age from Journal of Big Data
#2
of 5 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 356 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done well, scoring higher than 85% 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 253,919 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 5 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.