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Nanostructured Ternary Metal Tungstate-Based Photocatalysts for Environmental Purification and Solar Water Splitting: A Review

Overview of attention for article published in Nano-Micro Letters, October 2018
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135 Mendeley
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Title
Nanostructured Ternary Metal Tungstate-Based Photocatalysts for Environmental Purification and Solar Water Splitting: A Review
Published in
Nano-Micro Letters, October 2018
DOI 10.1007/s40820-018-0222-4
Pubmed ID
Authors

Jun Ke, M. Adnan Younis, Yan Kong, Hongru Zhou, Jie Liu, Lecheng Lei, Yang Hou

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 135 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 15%
Researcher 18 13%
Student > Master 16 12%
Student > Doctoral Student 10 7%
Professor > Associate Professor 7 5%
Other 13 10%
Unknown 51 38%
Readers by discipline Count As %
Chemistry 29 21%
Materials Science 15 11%
Chemical Engineering 9 7%
Engineering 5 4%
Environmental Science 4 3%
Other 12 9%
Unknown 61 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 October 2018.
All research outputs
#20,538,485
of 23,109,468 outputs
Outputs from Nano-Micro Letters
#906
of 983 outputs
Outputs of similar age
#298,662
of 343,729 outputs
Outputs of similar age from Nano-Micro Letters
#4
of 12 outputs
Altmetric has tracked 23,109,468 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 983 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 1st percentile – i.e., 1% 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 343,729 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.