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X Demographics
Mendeley readers
Attention Score in Context
Title |
Localized Defect Detection from Spatially Mapped, In-Situ Process Data With Machine Learning
|
---|---|
Published in |
Frontiers in Mechanical Engineering, November 2021
|
DOI | 10.3389/fmech.2021.767444 |
Authors |
William Halsey, Derek Rose, Luke Scime, Ryan Dehoff, Vincent Paquit |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
United States | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 19% |
Student > Ph. D. Student | 4 | 15% |
Researcher | 2 | 7% |
Other | 1 | 4% |
Student > Bachelor | 1 | 4% |
Other | 1 | 4% |
Unknown | 13 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 8 | 30% |
Computer Science | 3 | 11% |
Materials Science | 1 | 4% |
Unknown | 15 | 56% |
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 19 November 2021.
All research outputs
#14,268,548
of 23,310,485 outputs
Outputs from Frontiers in Mechanical Engineering
#107
of 514 outputs
Outputs of similar age
#201,421
of 428,173 outputs
Outputs of similar age from Frontiers in Mechanical Engineering
#2
of 23 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 514 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 77% 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 428,173 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 51% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.