| Title |
Manufacturing process data analysis pipelines: a requirements analysis and survey
|
|---|---|
| Published in |
Journal of Big Data, January 2019
|
| DOI | 10.1186/s40537-018-0162-3 |
| Authors |
Ahmed Ismail, Hong-Linh Truong, Wolfgang Kastner |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 231 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 54 | 23% |
| Student > Ph. D. Student | 28 | 12% |
| Student > Bachelor | 26 | 11% |
| Student > Doctoral Student | 14 | 6% |
| Researcher | 13 | 6% |
| Other | 29 | 13% |
| Unknown | 67 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 65 | 28% |
| Computer Science | 45 | 19% |
| Business, Management and Accounting | 17 | 7% |
| Economics, Econometrics and Finance | 6 | 3% |
| Agricultural and Biological Sciences | 3 | 1% |
| Other | 16 | 7% |
| Unknown | 79 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 14 February 2023.
All research outputs
#6,945,076
of 24,226,848 outputs
Outputs from Journal of Big Data
#119
of 367 outputs
Outputs of similar age
#139,595
of 445,030 outputs
Outputs of similar age from Journal of Big Data
#8
of 18 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 367 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 66% 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 445,030 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 67% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.