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Quality evaluation of compounds in leaves of six Taxus species based on UPLC-MS/MS and chemometrics

Overview of attention for article published in Frontiers in Chemistry, May 2023
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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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3 Dimensions

Readers on

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3 Mendeley
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Title
Quality evaluation of compounds in leaves of six Taxus species based on UPLC-MS/MS and chemometrics
Published in
Frontiers in Chemistry, May 2023
DOI 10.3389/fchem.2023.1193188
Pubmed ID
Authors

Qingzhu Cai, Qiang Song, Kunxia Jiang, Yao Lin, Ying Zhang, Jirong Zhang, Shuqing Lin, Lina Huang, Qihuang Xue, Zehao Huang, Wen Xu, Wei Xu, Mun Fei Yam

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 33%
Biochemistry, Genetics and Molecular Biology 1 33%
Unknown 1 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 16 June 2023.
All research outputs
#19,405,972
of 23,874,480 outputs
Outputs from Frontiers in Chemistry
#2,329
of 6,313 outputs
Outputs of similar age
#173,852
of 242,738 outputs
Outputs of similar age from Frontiers in Chemistry
#32
of 127 outputs
Altmetric has tracked 23,874,480 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,313 research outputs from this source. They receive a mean Attention Score of 2.1. 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 242,738 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 127 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.