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Identifying the Species of Seeds in Traditional Chinese Medicine Using DNA Barcoding

Overview of attention for article published in Frontiers in Pharmacology, July 2018
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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29 Dimensions

Readers on

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23 Mendeley
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Title
Identifying the Species of Seeds in Traditional Chinese Medicine Using DNA Barcoding
Published in
Frontiers in Pharmacology, July 2018
DOI 10.3389/fphar.2018.00701
Pubmed ID
Authors

Chao Xiong, Wei Sun, Jingjian Li, Hui Yao, Yuhua Shi, Ping Wang, Bisheng Huang, Linchun Shi, Di Liu, Zhigang Hu, Shilin Chen

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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 35%
Lecturer > Senior Lecturer 1 4%
Other 1 4%
Professor 1 4%
Student > Bachelor 1 4%
Other 2 9%
Unknown 9 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 22%
Agricultural and Biological Sciences 5 22%
Veterinary Science and Veterinary Medicine 1 4%
Medicine and Dentistry 1 4%
Chemistry 1 4%
Other 1 4%
Unknown 9 39%
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 13 September 2018.
All research outputs
#21,075,298
of 25,837,817 outputs
Outputs from Frontiers in Pharmacology
#10,028
of 20,002 outputs
Outputs of similar age
#269,713
of 344,233 outputs
Outputs of similar age from Frontiers in Pharmacology
#195
of 395 outputs
Altmetric has tracked 25,837,817 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 20,002 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 37th percentile – i.e., 37% 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 344,233 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 395 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.