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Corrigendum: Modifying SnS2 with carbon quantum dots to improve photocatalytic performance for Cr(VI) reduction

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

Citations

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Title
Corrigendum: Modifying SnS2 with carbon quantum dots to improve photocatalytic performance for Cr(VI) reduction
Published in
Frontiers in Chemistry, November 2022
DOI 10.3389/fchem.2022.1097501
Pubmed ID
Authors

Weidong Li, Jianping Qiu, Haihong Jin, Yuanyuan Wang, Dandan Ma, Xinxiang Zhang, Huayun Yang, Fangyuan 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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 100%
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 25 November 2022.
All research outputs
#20,601,627
of 23,189,371 outputs
Outputs from Frontiers in Chemistry
#2,959
of 6,077 outputs
Outputs of similar age
#347,095
of 438,980 outputs
Outputs of similar age from Frontiers in Chemistry
#195
of 333 outputs
Altmetric has tracked 23,189,371 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 6,077 research outputs from this source. They receive a mean Attention Score of 2.0. 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 438,980 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 333 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.