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Machine learning-aided analyses of thousands of draft genomes reveal specific features of activated sludge processes

Overview of attention for article published in Microbiome, February 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

twitter
8 X users
video
1 YouTube creator

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
105 Mendeley
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Title
Machine learning-aided analyses of thousands of draft genomes reveal specific features of activated sludge processes
Published in
Microbiome, February 2020
DOI 10.1186/s40168-020-0794-3
Pubmed ID
Authors

Lin Ye, Ran Mei, Wen-Tso Liu, Hongqiang Ren, Xu-Xiang Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 105 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 19%
Researcher 19 18%
Student > Bachelor 9 9%
Student > Master 7 7%
Student > Doctoral Student 4 4%
Other 15 14%
Unknown 31 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 17%
Environmental Science 16 15%
Agricultural and Biological Sciences 10 10%
Engineering 8 8%
Business, Management and Accounting 4 4%
Other 12 11%
Unknown 37 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 November 2020.
All research outputs
#6,925,757
of 23,192,960 outputs
Outputs from Microbiome
#1,288
of 1,472 outputs
Outputs of similar age
#148,846
of 456,021 outputs
Outputs of similar age from Microbiome
#37
of 41 outputs
Altmetric has tracked 23,192,960 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,472 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.3. This one is in the 11th percentile – i.e., 11% 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 456,021 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.