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A Deep Eutectic Solvent as an Extraction Solvent to Separate and Preconcentrate Parabens in Water Samples Using in situ Liquid-Liquid Microextraction

Overview of attention for article published in Journal of the Brazilian Chemical Society, January 2019
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Mentioned by

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1 Facebook page

Citations

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51 Dimensions

Readers on

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78 Mendeley
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Title
A Deep Eutectic Solvent as an Extraction Solvent to Separate and Preconcentrate Parabens in Water Samples Using in situ Liquid-Liquid Microextraction
Published in
Journal of the Brazilian Chemical Society, January 2019
DOI 10.21577/0103-5053.20190014
Authors

Dandan Ge, Ying Wang, Qian Jiang, Enrui Dai

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 17%
Student > Bachelor 11 14%
Student > Doctoral Student 8 10%
Researcher 8 10%
Student > Postgraduate 7 9%
Other 11 14%
Unknown 20 26%
Readers by discipline Count As %
Chemistry 25 32%
Chemical Engineering 9 12%
Environmental Science 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Engineering 2 3%
Other 6 8%
Unknown 30 38%
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 30 January 2019.
All research outputs
#20,552,296
of 23,125,690 outputs
Outputs from Journal of the Brazilian Chemical Society
#542
of 1,782 outputs
Outputs of similar age
#372,405
of 438,277 outputs
Outputs of similar age from Journal of the Brazilian Chemical Society
#23
of 164 outputs
Altmetric has tracked 23,125,690 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 1,782 research outputs from this source. They receive a mean Attention Score of 1.1. 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 438,277 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 164 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.