| Title |
Exploration of data science techniques to predict fatigue strength of steel from composition and processing parameters
|
|---|---|
| Published in |
Integrating Materials and Manufacturing Innovation, April 2014
|
| DOI | 10.1186/2193-9772-3-8 |
| Authors |
Ankit Agrawal, Parijat D Deshpande, Ahmet Cecen, Gautham P Basavarsu, Alok N Choudhary, Surya R Kalidindi |
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 250 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Denmark | 1 | <1% |
| Germany | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Unknown | 242 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 18% |
| Researcher | 38 | 15% |
| Student > Master | 30 | 12% |
| Student > Doctoral Student | 14 | 6% |
| Student > Bachelor | 12 | 5% |
| Other | 37 | 15% |
| Unknown | 73 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 66 | 26% |
| Materials Science | 58 | 23% |
| Computer Science | 13 | 5% |
| Chemistry | 5 | 2% |
| Energy | 3 | 1% |
| Other | 15 | 6% |
| Unknown | 90 | 36% |
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 22 November 2016.
All research outputs
#15,395,259
of 22,903,988 outputs
Outputs from Integrating Materials and Manufacturing Innovation
#35
of 55 outputs
Outputs of similar age
#132,911
of 225,814 outputs
Outputs of similar age from Integrating Materials and Manufacturing Innovation
#3
of 3 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 55 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 21st percentile – i.e., 21% 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 225,814 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.