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Perspectives on the Impact of Machine Learning, Deep Learning, and Artificial Intelligence on Materials, Processes, and Structures Engineering

Overview of attention for article published in Integrating Materials and Manufacturing Innovation, August 2018
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 X users

Citations

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231 Dimensions

Readers on

mendeley
539 Mendeley
Title
Perspectives on the Impact of Machine Learning, Deep Learning, and Artificial Intelligence on Materials, Processes, and Structures Engineering
Published in
Integrating Materials and Manufacturing Innovation, August 2018
DOI 10.1007/s40192-018-0117-8
Authors

Dennis M. Dimiduk, Elizabeth A. Holm, Stephen R. Niezgoda

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 539 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 539 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 96 18%
Student > Master 63 12%
Researcher 56 10%
Student > Bachelor 41 8%
Professor 26 5%
Other 82 15%
Unknown 175 32%
Readers by discipline Count As %
Engineering 126 23%
Materials Science 64 12%
Computer Science 40 7%
Chemistry 22 4%
Business, Management and Accounting 12 2%
Other 68 13%
Unknown 207 38%
Attention Score in Context

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 20 February 2024.
All research outputs
#16,046,973
of 25,382,360 outputs
Outputs from Integrating Materials and Manufacturing Innovation
#33
of 62 outputs
Outputs of similar age
#195,845
of 341,437 outputs
Outputs of similar age from Integrating Materials and Manufacturing Innovation
#1
of 1 outputs
Altmetric has tracked 25,382,360 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 62 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 43rd percentile – i.e., 43% 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 341,437 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% 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