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Quality control of Ganoderma lucidum by using C, H, O, and N stable isotopes and C and N contents for geographical traceability

Overview of attention for article published in Frontiers in Plant Science, October 2023
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1 X user

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1 Mendeley
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Title
Quality control of Ganoderma lucidum by using C, H, O, and N stable isotopes and C and N contents for geographical traceability
Published in
Frontiers in Plant Science, October 2023
DOI 10.3389/fpls.2023.1234729
Pubmed ID
Authors

Ying Zhang, Kunxia Jiang, Sisi Chen, Lina Wang, Xun Zhang, Wen Xu, Mun Fei Yam, Changhui Wu, Wei Xu, Yu Lin

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.
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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 %
Unspecified 1 100%
Readers by discipline Count As %
Unspecified 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 12 October 2023.
All research outputs
#22,048,318
of 24,598,501 outputs
Outputs from Frontiers in Plant Science
#18,712
of 23,350 outputs
Outputs of similar age
#139,217
of 171,413 outputs
Outputs of similar age from Frontiers in Plant Science
#262
of 468 outputs
Altmetric has tracked 24,598,501 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 23,350 research outputs from this source. They receive a mean Attention Score of 3.9. 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 171,413 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 468 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.