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Engineering Bamboo Leaves Into 3D Macroporous Si@C Composites for Stable Lithium-Ion Battery Anodes

Overview of attention for article published in Frontiers in Chemistry, April 2022
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1 X user

Citations

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5 Dimensions

Readers on

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10 Mendeley
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Title
Engineering Bamboo Leaves Into 3D Macroporous Si@C Composites for Stable Lithium-Ion Battery Anodes
Published in
Frontiers in Chemistry, April 2022
DOI 10.3389/fchem.2022.882681
Pubmed ID
Authors

Hao Wu, Yingying Jiang, Wenjun Liu, Hong Wen, Shihui Dong, Huan Chen, Liwei Su, Lianbang Wang

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Student > Bachelor 2 20%
Researcher 1 10%
Unknown 4 40%
Readers by discipline Count As %
Engineering 4 40%
Chemistry 1 10%
Social Sciences 1 10%
Unknown 4 40%
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 07 April 2022.
All research outputs
#20,884,233
of 23,504,694 outputs
Outputs from Frontiers in Chemistry
#3,003
of 6,173 outputs
Outputs of similar age
#362,110
of 444,232 outputs
Outputs of similar age from Frontiers in Chemistry
#158
of 420 outputs
Altmetric has tracked 23,504,694 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 6,173 research outputs from this source. They receive a mean Attention Score of 2.1. 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 444,232 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 420 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.