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Optical identification using imperfections in 2D materials

Overview of attention for article published in 2D Materials, September 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 1,083)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
10 news outlets
blogs
2 blogs
twitter
94 X users
wikipedia
4 Wikipedia pages
googleplus
1 Google+ user
reddit
1 Redditor

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
63 Mendeley
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Title
Optical identification using imperfections in 2D materials
Published in
2D Materials, September 2017
DOI 10.1088/2053-1583/aa8b4d
Authors

Yameng Cao, Alexander J Robson, Abdullah Alharbi, Jonathan Roberts, Christopher S Woodhead, Yasir J Noori, Ramón Bernardo-Gavito, Davood Shahrjerdi, Utz Roedig, Vladimir I Fal’ko, Robert J Young

X Demographics

X Demographics

The data shown below were collected from the profiles of 94 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 32%
Researcher 7 11%
Student > Master 5 8%
Student > Bachelor 3 5%
Student > Doctoral Student 3 5%
Other 9 14%
Unknown 16 25%
Readers by discipline Count As %
Physics and Astronomy 18 29%
Materials Science 11 17%
Engineering 10 16%
Chemistry 3 5%
Computer Science 1 2%
Other 3 5%
Unknown 17 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 164. 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 14 July 2020.
All research outputs
#249,550
of 25,539,438 outputs
Outputs from 2D Materials
#4
of 1,083 outputs
Outputs of similar age
#5,230
of 329,320 outputs
Outputs of similar age from 2D Materials
#3
of 39 outputs
Altmetric has tracked 25,539,438 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,083 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 99% 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 329,320 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.