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Analysis of Volatile Flavor Compounds of Corn Under Different Treatments by GC-MS and GC-IMS

Overview of attention for article published in Frontiers in Chemistry, July 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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2 X users

Citations

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37 Dimensions

Readers on

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17 Mendeley
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Title
Analysis of Volatile Flavor Compounds of Corn Under Different Treatments by GC-MS and GC-IMS
Published in
Frontiers in Chemistry, July 2022
DOI 10.3389/fchem.2022.725208
Pubmed ID
Authors

Kangyi Zhang, Lingling Gao, Can Zhang, Tao Feng, Haining Zhuang

Timeline

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 12%
Student > Ph. D. Student 1 6%
Student > Postgraduate 1 6%
Student > Bachelor 1 6%
Unknown 12 71%
Readers by discipline Count As %
Chemistry 2 12%
Biochemistry, Genetics and Molecular Biology 2 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Unknown 12 71%
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 July 2022.
All research outputs
#18,478,448
of 22,896,955 outputs
Outputs from Frontiers in Chemistry
#2,220
of 5,975 outputs
Outputs of similar age
#304,782
of 435,060 outputs
Outputs of similar age from Frontiers in Chemistry
#95
of 435 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,975 research outputs from this source. They receive a mean Attention Score of 2.0. This one has gotten more attention than average, scoring higher than 51% 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 435,060 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 435 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 63% of its contemporaries.