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Finding New Perovskite Halides via Machine Learning

Overview of attention for article published in Frontiers in Materials, April 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
158 Dimensions

Readers on

mendeley
197 Mendeley
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Title
Finding New Perovskite Halides via Machine Learning
Published in
Frontiers in Materials, April 2016
DOI 10.3389/fmats.2016.00019
Authors

Ghanshyam Pilania, Prasanna V. Balachandran, Chiho Kim, Turab Lookman

X Demographics

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Canada 1 <1%
Unknown 195 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 21%
Researcher 31 16%
Student > Master 24 12%
Student > Doctoral Student 13 7%
Student > Bachelor 8 4%
Other 19 10%
Unknown 60 30%
Readers by discipline Count As %
Materials Science 48 24%
Chemistry 26 13%
Physics and Astronomy 23 12%
Engineering 15 8%
Chemical Engineering 5 3%
Other 15 8%
Unknown 65 33%
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 29 October 2018.
All research outputs
#14,258,962
of 22,865,319 outputs
Outputs from Frontiers in Materials
#228
of 2,469 outputs
Outputs of similar age
#159,860
of 298,924 outputs
Outputs of similar age from Frontiers in Materials
#1
of 13 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,469 research outputs from this source. They receive a mean Attention Score of 1.4. This one has done well, scoring higher than 89% 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 298,924 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.