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Detection of systemic pesticide residues in tea products at trace level based on SERS and verified by GC–MS

Overview of attention for article published in Analytical & Bioanalytical Chemistry, October 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

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4 X users

Citations

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24 Dimensions

Readers on

mendeley
25 Mendeley
Title
Detection of systemic pesticide residues in tea products at trace level based on SERS and verified by GC–MS
Published in
Analytical & Bioanalytical Chemistry, October 2019
DOI 10.1007/s00216-019-02103-7
Pubmed ID
Authors

De Zhang, Pei Liang, Jiaming Ye, Jing Xia, Yongfeng Zhou, Jie Huang, Dejiang Ni, Lisha Tang, Shangzhong Jin, Zhi Yu

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 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 5 20%
Student > Ph. D. Student 4 16%
Researcher 3 12%
Student > Bachelor 2 8%
Other 1 4%
Other 1 4%
Unknown 9 36%
Readers by discipline Count As %
Chemistry 6 24%
Materials Science 3 12%
Medicine and Dentistry 2 8%
Nursing and Health Professions 1 4%
Agricultural and Biological Sciences 1 4%
Other 3 12%
Unknown 9 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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
#16,057,393
of 25,387,668 outputs
Outputs from Analytical & Bioanalytical Chemistry
#4,985
of 9,622 outputs
Outputs of similar age
#209,012
of 368,732 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#47
of 122 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% 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 45th percentile – i.e., 45% 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 368,732 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.