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Application of Kinetically Optimised Online HILIC × RP-LC Methods Hyphenated to High Resolution MS for the Analysis of Natural Phenolics

Overview of attention for article published in Chromatographia, November 2018
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1 X user

Citations

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27 Dimensions

Readers on

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36 Mendeley
Title
Application of Kinetically Optimised Online HILIC × RP-LC Methods Hyphenated to High Resolution MS for the Analysis of Natural Phenolics
Published in
Chromatographia, November 2018
DOI 10.1007/s10337-018-3662-6
Authors

Magriet Muller, Andreas G. J. Tredoux, André de Villiers

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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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 17%
Student > Ph. D. Student 5 14%
Student > Bachelor 4 11%
Student > Postgraduate 4 11%
Professor > Associate Professor 4 11%
Other 7 19%
Unknown 6 17%
Readers by discipline Count As %
Chemistry 16 44%
Agricultural and Biological Sciences 5 14%
Biochemistry, Genetics and Molecular Biology 1 3%
Environmental Science 1 3%
Engineering 1 3%
Other 0 0%
Unknown 12 33%
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 11 April 2019.
All research outputs
#20,564,621
of 23,140,503 outputs
Outputs from Chromatographia
#947
of 1,031 outputs
Outputs of similar age
#373,187
of 437,667 outputs
Outputs of similar age from Chromatographia
#9
of 10 outputs
Altmetric has tracked 23,140,503 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 1,031 research outputs from this source. They receive a mean Attention Score of 2.7. 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 437,667 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 10 others from the same source and published within six weeks on either side of this one.