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Visualization and quantification of transition metal atomic mixing in Mo1−xWxS2 single layers

Overview of attention for article published in Nature Communications, January 2013
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Title
Visualization and quantification of transition metal atomic mixing in Mo1−xWxS2 single layers
Published in
Nature Communications, January 2013
DOI 10.1038/ncomms2351
Pubmed ID
Authors

Dumitru O Dumcenco, Haruka Kobayashi, Zheng Liu, Ying-Sheng Huang, Kazu Suenaga

Abstract

The alloying behaviour of materials is a well-known problem in all kinds of compounds. Revealing the heteroatomic distributions in two-dimensional crystals is particularly critical for their practical use as nano-devices. Here we obtain statistics of the homo- and heteroatomic coordinates in single-layered Mo(1-x)W(x)S(2) from the atomically resolved scanning transmission electron microscope images and successfully quantify the degree of alloying for the transition metal elements (Mo or W). The results reveal the random alloying of this mixed dichalcogenide system throughout the chemical compositions (x=0 to 1). Such a direct route to gain an insight into the alloying degree on individual atom basis will find broad applications in characterizing low-dimensional heterocompounds and become an important complement to the existing theoretical methods.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
United Kingdom 2 <1%
India 1 <1%
Japan 1 <1%
Switzerland 1 <1%
Unknown 229 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 76 32%
Researcher 47 20%
Student > Master 23 10%
Professor > Associate Professor 15 6%
Student > Bachelor 11 5%
Other 32 14%
Unknown 33 14%
Readers by discipline Count As %
Materials Science 88 37%
Physics and Astronomy 58 24%
Chemistry 27 11%
Engineering 15 6%
Medicine and Dentistry 1 <1%
Other 3 1%
Unknown 45 19%
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 January 2013.
All research outputs
#14,742,867
of 22,693,205 outputs
Outputs from Nature Communications
#40,900
of 46,686 outputs
Outputs of similar age
#190,902
of 306,282 outputs
Outputs of similar age from Nature Communications
#204
of 260 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 46,686 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.4. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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 306,282 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 260 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.