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X Demographics
Mendeley readers
Attention Score in Context
Title |
Machine Learning Based Methodology to Predict Point Defect Energies in Multi-Principal Element Alloys
|
---|---|
Published in |
Frontiers in Materials, June 2021
|
DOI | 10.3389/fmats.2021.673574 |
Authors |
Anus Manzoor, Gaurav Arora, Bryant Jerome, Nathan Linton, Bailey Norman, Dilpuneet S. Aidhy |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 17% |
United States | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 26% |
Other | 3 | 10% |
Unspecified | 3 | 10% |
Student > Master | 3 | 10% |
Student > Doctoral Student | 1 | 3% |
Other | 4 | 13% |
Unknown | 9 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Materials Science | 9 | 29% |
Unspecified | 3 | 10% |
Engineering | 2 | 6% |
Energy | 2 | 6% |
Physics and Astronomy | 1 | 3% |
Other | 3 | 10% |
Unknown | 11 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 02 June 2021.
All research outputs
#13,222,153
of 23,302,246 outputs
Outputs from Frontiers in Materials
#153
of 2,583 outputs
Outputs of similar age
#188,361
of 448,043 outputs
Outputs of similar age from Frontiers in Materials
#5
of 155 outputs
Altmetric has tracked 23,302,246 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,583 research outputs from this source. They receive a mean Attention Score of 1.4. This one has done particularly well, scoring higher than 93% 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 448,043 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 57% of its contemporaries.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.