| Title |
Prediction of tool-wear in turning of medical grade cobalt chromium molybdenum alloy (ASTM F75) using non-parametric Bayesian models
|
|---|---|
| Published in |
Journal of Intelligent Manufacturing, March 2017
|
| DOI | 10.1007/s10845-017-1317-3 |
| Authors |
Damien McParland, Szymon Baron, Sarah O’Rourke, Denis Dowling, Eamonn Ahearne, Andrew Parnell |
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 % |
|---|---|---|
| Ireland | 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 18% |
| Student > Master | 6 | 14% |
| Researcher | 5 | 11% |
| Student > Ph. D. Student | 5 | 11% |
| Other | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 11 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 25 | 57% |
| Mathematics | 2 | 5% |
| Computer Science | 2 | 5% |
| Arts and Humanities | 1 | 2% |
| Physics and Astronomy | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 12 | 27% |
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 18 August 2017.
All research outputs
#20,721,996
of 23,321,213 outputs
Outputs from Journal of Intelligent Manufacturing
#316
of 589 outputs
Outputs of similar age
#270,558
of 310,021 outputs
Outputs of similar age from Journal of Intelligent Manufacturing
#4
of 4 outputs
Altmetric has tracked 23,321,213 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 589 research outputs from this source. They receive a mean Attention Score of 1.3. This one is in the 1st percentile – i.e., 1% 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 310,021 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.