| Title |
Big Data architecture for intelligent maintenance: a focus on query processing and machine learning algorithms
|
|---|---|
| Published in |
Journal of Big Data, August 2020
|
| DOI | 10.1186/s40537-020-00340-7 |
| Authors |
Claude Lehmann, Lilach Goren Huber, Thomas Horisberger, Georg Scheiba, Ana Claudia Sima, Kurt Stockinger |
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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 16% |
| Student > Master | 9 | 15% |
| Researcher | 5 | 8% |
| Lecturer | 4 | 7% |
| Student > Bachelor | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 25 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 26% |
| Engineering | 8 | 13% |
| Business, Management and Accounting | 2 | 3% |
| Agricultural and Biological Sciences | 2 | 3% |
| Immunology and Microbiology | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 27 | 44% |
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 13 August 2020.
All research outputs
#18,741,020
of 23,230,825 outputs
Outputs from Journal of Big Data
#266
of 348 outputs
Outputs of similar age
#300,463
of 398,707 outputs
Outputs of similar age from Journal of Big Data
#21
of 24 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 348 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 5th percentile – i.e., 5% 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 398,707 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.