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X Demographics
Mendeley readers
Attention Score in Context
Title |
Application of High-Throughput Sequencing on the Chinese Herbal Medicine for the Data-Mining of the Bioactive Compounds
|
---|---|
Published in |
Frontiers in Plant Science, July 2022
|
DOI | 10.3389/fpls.2022.900035 |
Pubmed ID | |
Authors |
Xiaoyan Liu, Xun Gong, Yi Liu, Junlin Liu, Hantao Zhang, Sen Qiao, Gang Li, Min Tang |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 17% |
Switzerland | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 100% |
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% |
Other | 1 | 14% |
Student > Master | 1 | 14% |
Unknown | 4 | 57% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 3 | 43% |
Unspecified | 1 | 14% |
Unknown | 3 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 05 August 2022.
All research outputs
#2,572,808
of 24,212,485 outputs
Outputs from Frontiers in Plant Science
#1,148
of 22,668 outputs
Outputs of similar age
#54,612
of 423,552 outputs
Outputs of similar age from Frontiers in Plant Science
#43
of 1,321 outputs
Altmetric has tracked 24,212,485 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,668 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 94% 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 423,552 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 1,321 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.