↓ Skip to main content

Internal ion transport in ionic 2D CuInP2S6 enabling multi-state neuromorphic computing with low operation current

Overview of attention for article published in Materials Today, June 2023
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
patent
1 patent

Readers on

mendeley
19 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Internal ion transport in ionic 2D CuInP2S6 enabling multi-state neuromorphic computing with low operation current
Published in
Materials Today, June 2023
DOI 10.1016/j.mattod.2023.04.013
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 3 16%
Student > Doctoral Student 1 5%
Professor 1 5%
Student > Ph. D. Student 1 5%
Researcher 1 5%
Other 2 11%
Unknown 10 53%
Readers by discipline
Readers by discipline Count As %
Materials Science 4 21%
Physics and Astronomy 2 11%
Chemical Engineering 1 5%
Business, Management and Accounting 1 5%
Immunology and Microbiology 1 5%
Other 0 0%
Unknown 10 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 28 March 2025.
All research outputs
#3,762,704
of 30,457,780 outputs
Outputs from Materials Today
#287
of 1,325 outputs
Outputs of similar age
#58,591
of 401,080 outputs
Outputs of similar age from Materials Today
#4
of 28 outputs
Altmetric has tracked 30,457,780 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,325 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. 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 401,080 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 85% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.