| Title |
Metacognitive learning approach for online tool condition monitoring
|
|---|---|
| Published in |
Journal of Intelligent Manufacturing, August 2017
|
| DOI | 10.1007/s10845-017-1348-9 |
| Authors |
Mahardhika Pratama, Eric Dimla, Chow Yin Lai, Edwin Lughofer |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 19% |
| Student > Master | 12 | 16% |
| Lecturer | 7 | 9% |
| Other | 5 | 6% |
| Student > Doctoral Student | 4 | 5% |
| Other | 14 | 18% |
| Unknown | 20 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 23 | 30% |
| Computer Science | 13 | 17% |
| Social Sciences | 6 | 8% |
| Arts and Humanities | 2 | 3% |
| Unspecified | 2 | 3% |
| Other | 5 | 6% |
| Unknown | 26 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 May 2017.
All research outputs
#14,344,573
of 22,971,207 outputs
Outputs from Journal of Intelligent Manufacturing
#157
of 566 outputs
Outputs of similar age
#176,595
of 317,927 outputs
Outputs of similar age from Journal of Intelligent Manufacturing
#1
of 1 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 566 research outputs from this source. They receive a mean Attention Score of 1.4. This one has gotten more attention than average, scoring higher than 71% 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 317,927 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them