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UPLC/FT-ICR MS-based high-resolution platform for determining the geographical origins of raw propolis samples

Overview of attention for article published in Journal of Analytical Science and Technology , February 2019
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3 X users

Citations

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Readers on

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20 Mendeley
Title
UPLC/FT-ICR MS-based high-resolution platform for determining the geographical origins of raw propolis samples
Published in
Journal of Analytical Science and Technology , February 2019
DOI 10.1186/s40543-019-0168-2
Authors

Cho Hyun Kim, Mee Young Kim, Seung-Wan Lee, Kyoung-Soon Jang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 30%
Student > Ph. D. Student 4 20%
Student > Bachelor 2 10%
Student > Master 2 10%
Professor 1 5%
Other 0 0%
Unknown 5 25%
Readers by discipline Count As %
Chemistry 5 25%
Biochemistry, Genetics and Molecular Biology 3 15%
Agricultural and Biological Sciences 3 15%
Chemical Engineering 1 5%
Environmental Science 1 5%
Other 2 10%
Unknown 5 25%
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 February 2019.
All research outputs
#19,954,338
of 25,385,509 outputs
Outputs from Journal of Analytical Science and Technology
#30
of 82 outputs
Outputs of similar age
#320,831
of 446,056 outputs
Outputs of similar age from Journal of Analytical Science and Technology
#1
of 2 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 82 research outputs from this source. They receive a mean Attention Score of 1.4. This one has gotten more attention than average, scoring higher than 56% of its peers.
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 446,056 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them