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An Efficient Separator with Low Li‐Ion Diffusion Energy Barrier Resolving Feeble Conductivity for Practical Lithium–Sulfur Batteries

Overview of attention for article published in Advanced Energy Materials, September 2019
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1 X user

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25 Mendeley
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Title
An Efficient Separator with Low Li‐Ion Diffusion Energy Barrier Resolving Feeble Conductivity for Practical Lithium–Sulfur Batteries
Published in
Advanced Energy Materials, September 2019
DOI 10.1002/aenm.201901800
Authors

Xiaoxue Lv, Tianyu Lei, Bojun Wang, Wei Chen, Yu Jiao, Yin Hu, Yichao Yan, Jianwen Huang, Junwei Chu, Chaoyi Yan, Chunyang Wu, Jianwei Wang, Xiaobin Niu, Jie Xiong

X Demographics

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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 16%
Researcher 3 12%
Student > Ph. D. Student 3 12%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Other 3 12%
Unknown 8 32%
Readers by discipline Count As %
Chemistry 5 20%
Chemical Engineering 3 12%
Materials Science 3 12%
Engineering 2 8%
Unknown 12 48%
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 30 October 2019.
All research outputs
#20,585,941
of 23,170,347 outputs
Outputs from Advanced Energy Materials
#3,332
of 3,985 outputs
Outputs of similar age
#289,464
of 340,677 outputs
Outputs of similar age from Advanced Energy Materials
#69
of 115 outputs
Altmetric has tracked 23,170,347 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 3,985 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. 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 340,677 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 115 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.