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Genome mining reveals polysaccharide-degrading potential and new antimicrobial gene clusters of novel intestinal bacterium Paenibacillus jilinensis sp. nov.

Overview of attention for article published in BMC Genomics, May 2022
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2 X users

Citations

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Readers on

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12 Mendeley
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Title
Genome mining reveals polysaccharide-degrading potential and new antimicrobial gene clusters of novel intestinal bacterium Paenibacillus jilinensis sp. nov.
Published in
BMC Genomics, May 2022
DOI 10.1186/s12864-022-08623-4
Pubmed ID
Authors

Ke Ma, Wei Chen, Shi-Qing Yan, Xiao-Qi Lin, Zhen-Zhen Liu, Jia-Bao Zhang, Yu Gao, Yong-Jun Yang

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Professor > Associate Professor 1 8%
Unspecified 1 8%
Unknown 7 58%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 8%
Unspecified 1 8%
Environmental Science 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Agricultural and Biological Sciences 1 8%
Other 0 0%
Unknown 7 58%
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 20 May 2022.
All research outputs
#18,146,485
of 23,312,088 outputs
Outputs from BMC Genomics
#7,640
of 10,742 outputs
Outputs of similar age
#296,948
of 442,021 outputs
Outputs of similar age from BMC Genomics
#140
of 192 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,742 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 442,021 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 192 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.