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Development of a highly sensitive colloidal gold semiquantitative method for the determination of difenoconazole residues in citrus

Overview of attention for article published in Frontiers in Nutrition, March 2024
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2 X users

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Title
Development of a highly sensitive colloidal gold semiquantitative method for the determination of difenoconazole residues in citrus
Published in
Frontiers in Nutrition, March 2024
DOI 10.3389/fnut.2024.1341219
Pubmed ID
Authors

Ruobing Wang, Min Gong, Yang Liu, Weiran Zhu, Kai Zhang, Yidi Zhao, Chen Yin, Yuan Liu, Jian Wang, Yuping Wan

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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 100%
Readers by discipline Count As %
Materials Science 1 100%
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 25 March 2024.
All research outputs
#20,989,864
of 25,782,229 outputs
Outputs from Frontiers in Nutrition
#4,512
of 7,035 outputs
Outputs of similar age
#174,390
of 260,673 outputs
Outputs of similar age from Frontiers in Nutrition
#216
of 331 outputs
Altmetric has tracked 25,782,229 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 7,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one is in the 25th percentile – i.e., 25% 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 260,673 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 331 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.