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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 18 | 19% |
United Kingdom | 6 | 6% |
Bangladesh | 1 | 1% |
Philippines | 1 | 1% |
Mexico | 1 | 1% |
India | 1 | 1% |
Spain | 1 | 1% |
South Africa | 1 | 1% |
Unknown | 64 | 68% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 85 | 90% |
Scientists | 6 | 6% |
Science communicators (journalists, bloggers, editors) | 2 | 2% |
Practitioners (doctors, other healthcare professionals) | 1 | 1% |
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
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.