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Authenticity and species identification of Fritillariae cirrhosae: a data fusion method combining electronic nose, electronic tongue, electronic eye and near infrared spectroscopy

Overview of attention for article published in Frontiers in Chemistry, April 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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1 X user

Citations

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7 Dimensions

Readers on

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7 Mendeley
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Title
Authenticity and species identification of Fritillariae cirrhosae: a data fusion method combining electronic nose, electronic tongue, electronic eye and near infrared spectroscopy
Published in
Frontiers in Chemistry, April 2023
DOI 10.3389/fchem.2023.1179039
Pubmed ID
Authors

Xin-Jing Gui, Han Li, Rui Ma, Liang-Yu Tian, Fu-Guo Hou, Hai-Yang Li, Xue-Hua Fan, Yan-Li Wang, Jing Yao, Jun-Han Shi, Lu Zhang, Xue-Lin Li, Rui-Xin Liu

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 14%
Professor 1 14%
Student > Ph. D. Student 1 14%
Researcher 1 14%
Unknown 3 43%
Readers by discipline Count As %
Unspecified 1 14%
Biochemistry, Genetics and Molecular Biology 1 14%
Agricultural and Biological Sciences 1 14%
Engineering 1 14%
Unknown 3 43%
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 28 April 2023.
All research outputs
#21,010,597
of 25,805,386 outputs
Outputs from Frontiers in Chemistry
#2,515
of 6,832 outputs
Outputs of similar age
#308,447
of 413,252 outputs
Outputs of similar age from Frontiers in Chemistry
#66
of 186 outputs
Altmetric has tracked 25,805,386 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 6,832 research outputs from this source. They receive a mean Attention Score of 2.3. 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 413,252 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 186 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 52% of its contemporaries.