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Speciation analysis of arsenic in samples containing high concentrations of chloride by LC-HG-AFS

Overview of attention for article published in Analytical & Bioanalytical Chemistry, October 2019
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2 X users

Citations

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Readers on

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9 Mendeley
Title
Speciation analysis of arsenic in samples containing high concentrations of chloride by LC-HG-AFS
Published in
Analytical & Bioanalytical Chemistry, October 2019
DOI 10.1007/s00216-019-02093-6
Pubmed ID
Authors

Xiaoping Yu, Wanjing Cui, Qin Wang, Yafei Guo, Tianlong Deng

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 22%
Student > Doctoral Student 2 22%
Professor 1 11%
Student > Ph. D. Student 1 11%
Unknown 3 33%
Readers by discipline Count As %
Environmental Science 2 22%
Agricultural and Biological Sciences 1 11%
Chemistry 1 11%
Unknown 5 56%
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 21 November 2019.
All research outputs
#20,667,544
of 25,387,668 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,609
of 9,622 outputs
Outputs of similar age
#280,250
of 368,829 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#85
of 124 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,622 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 21st percentile – i.e., 21% 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 368,829 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.