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Corrigendum: The Application of Regulatory Cascades in Streptomyces: Yield Enhancement and Metabolite Mining

Overview of attention for article published in Frontiers in Microbiology, February 2021
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2 X users

Citations

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3 Mendeley
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Title
Corrigendum: The Application of Regulatory Cascades in Streptomyces: Yield Enhancement and Metabolite Mining
Published in
Frontiers in Microbiology, February 2021
DOI 10.3389/fmicb.2020.614274
Pubmed ID
Authors

Haiyang Xia, Xiaofang Li, Zhangqun Li, Xinqiao Zhan, Xuming Mao, Yongquan Li

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

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Lecturer 1 33%
Unknown 1 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 67%
Unknown 1 33%
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 February 2021.
All research outputs
#18,966,595
of 23,508,125 outputs
Outputs from Frontiers in Microbiology
#20,211
of 25,950 outputs
Outputs of similar age
#381,016
of 507,676 outputs
Outputs of similar age from Frontiers in Microbiology
#755
of 913 outputs
Altmetric has tracked 23,508,125 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,950 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 9th percentile – i.e., 9% 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 507,676 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 913 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.