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Probing the transition from dislocation jamming to pinning by machine learning

Overview of attention for article published in Materials Theory, October 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
8 Mendeley
Title
Probing the transition from dislocation jamming to pinning by machine learning
Published in
Materials Theory, October 2020
DOI 10.1186/s41313-020-00022-0
Authors

Henri Salmenjoki, Lasse Laurson, Mikko J. Alava

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 25%
Student > Master 2 25%
Researcher 1 13%
Professor 1 13%
Unknown 2 25%
Readers by discipline Count As %
Materials Science 3 38%
Engineering 2 25%
Physics and Astronomy 1 13%
Unknown 2 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 23 December 2020.
All research outputs
#4,242,777
of 25,387,668 outputs
Outputs from Materials Theory
#5
of 15 outputs
Outputs of similar age
#100,507
of 436,151 outputs
Outputs of similar age from Materials Theory
#1
of 1 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.0. This one scored the same or higher as 10 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 436,151 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
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