↓ Skip to main content

Integration of lipidomics and metabolomics approaches for the discrimination of harvest time of green tea in spring season by using UPLC-Triple-TOF/MS coupled with chemometrics

Overview of attention for article published in Frontiers in Sustainable Food Systems, February 2023
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
3 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
Integration of lipidomics and metabolomics approaches for the discrimination of harvest time of green tea in spring season by using UPLC-Triple-TOF/MS coupled with chemometrics
Published in
Frontiers in Sustainable Food Systems, February 2023
DOI 10.3389/fsufs.2023.1119314
Authors

Hui-Na Cui, Hui-Wen Gu, Zhi-Quan Li, Weiqing Sun, Baomiao Ding, Zhenshun Li, Ying Chen, Wanjun Long, Xiao-Li Yin, Haiyan Fu

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 06 March 2023.
All research outputs
#20,875,908
of 23,495,502 outputs
Outputs from Frontiers in Sustainable Food Systems
#1,193
of 1,905 outputs
Outputs of similar age
#307,432
of 393,199 outputs
Outputs of similar age from Frontiers in Sustainable Food Systems
#91
of 229 outputs
Altmetric has tracked 23,495,502 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 1,905 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. 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 393,199 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 229 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.