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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Utilizing computational materials modeling and big data to develop printable high gamma prime superalloys for additive manufacturing
|
|---|---|
| Published in |
Frontiers in Metals and Alloys, July 2024
|
| DOI | 10.3389/ftmal.2024.1397636 |
| Authors |
Jonathon Bracci, Kevin Kaufmann, Jesse Schlatter, James Vecchio, Naixie Zhou, Sicong Jiang, Kenneth S. Vecchio, Justin Cheney |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 50% |
| Student > Ph. D. Student | 1 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 1 | 50% |
| Engineering | 1 | 50% |
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 19 July 2024.
All research outputs
#21,486,455
of 26,362,953 outputs
Outputs from Frontiers in Metals and Alloys
#3
of 3 outputs
Outputs of similar age
#88,622
of 137,600 outputs
Outputs of similar age from Frontiers in Metals and Alloys
#1
of 1 outputs
Altmetric has tracked 26,362,953 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.0. This one scored the same or higher as 0 of them.
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 137,600 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% 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