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Detection of sulfur mustard simulants using the microwave atmospheric pressure plasma optical emission spectroscopy method

Overview of attention for article published in Frontiers in Chemistry, June 2023
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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1 Mendeley
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Title
Detection of sulfur mustard simulants using the microwave atmospheric pressure plasma optical emission spectroscopy method
Published in
Frontiers in Chemistry, June 2023
DOI 10.3389/fchem.2023.1173870
Pubmed ID
Authors

Dexin Xu, Cong Li, Liu Yang, Wenchao Zhu, Bangdou Huang, Cheng Zhang, Tao Shao

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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 100%
Readers by discipline Count As %
Unspecified 1 100%
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 02 June 2023.
All research outputs
#21,293,845
of 23,920,246 outputs
Outputs from Frontiers in Chemistry
#3,048
of 6,284 outputs
Outputs of similar age
#153,948
of 198,306 outputs
Outputs of similar age from Frontiers in Chemistry
#35
of 100 outputs
Altmetric has tracked 23,920,246 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 6,284 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 198,306 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 100 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.