↓ Skip to main content

Widely targeted metabolomics analysis reveals the formation of nonvolatile flavor qualities during oolong tea manufacturing: a case study of Jinguanyin

Overview of attention for article published in Frontiers in Nutrition, December 2023
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
2 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Widely targeted metabolomics analysis reveals the formation of nonvolatile flavor qualities during oolong tea manufacturing: a case study of Jinguanyin
Published in
Frontiers in Nutrition, December 2023
DOI 10.3389/fnut.2023.1283960
Pubmed ID
Authors

Qingcai Hu, Yucheng Zheng, Yun Yang, Zi-Xin Ni, Bin Chen, Zongjie Wu, Huiqing Huang, Qingyang Wu, Zi-wei Zhou, Shuilian Gao, Zhongxiong Lai, Hongzheng Lin, Yun Sun

X Demographics

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 13 December 2023.
All research outputs
#22,390,216
of 24,988,543 outputs
Outputs from Frontiers in Nutrition
#4,731
of 6,419 outputs
Outputs of similar age
#139,567
of 174,837 outputs
Outputs of similar age from Frontiers in Nutrition
#74
of 171 outputs
Altmetric has tracked 24,988,543 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 6,419 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. 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 174,837 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 171 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.