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Recent Progress on Engineering Highly Efficient Porous Semiconductor Photocatalysts Derived from Metal–Organic Frameworks

Overview of attention for article published in Nano-Micro Letters, January 2019
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Mentioned by

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1 Facebook page

Citations

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365 Dimensions

Readers on

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135 Mendeley
Title
Recent Progress on Engineering Highly Efficient Porous Semiconductor Photocatalysts Derived from Metal–Organic Frameworks
Published in
Nano-Micro Letters, January 2019
DOI 10.1007/s40820-018-0235-z
Pubmed ID
Authors

Wenwen Zhan, Liming Sun, Xiguang Han

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%
Student > Master 19 14%
Researcher 14 10%
Student > Bachelor 9 7%
Professor > Associate Professor 6 4%
Other 17 13%
Unknown 50 37%
Readers by discipline Count As %
Chemistry 31 23%
Chemical Engineering 16 12%
Materials Science 11 8%
Engineering 7 5%
Environmental Science 5 4%
Other 6 4%
Unknown 59 44%
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 10 January 2019.
All research outputs
#20,549,510
of 23,122,481 outputs
Outputs from Nano-Micro Letters
#907
of 984 outputs
Outputs of similar age
#371,967
of 438,093 outputs
Outputs of similar age from Nano-Micro Letters
#9
of 13 outputs
Altmetric has tracked 23,122,481 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 984 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 438,093 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 13 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.