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Deterministic and stochastic processes driving the shift in the prokaryotic community composition in wastewater treatment plants of a coastal Chinese city

Overview of attention for article published in Applied Microbiology and Biotechnology, October 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
30 Mendeley
Title
Deterministic and stochastic processes driving the shift in the prokaryotic community composition in wastewater treatment plants of a coastal Chinese city
Published in
Applied Microbiology and Biotechnology, October 2019
DOI 10.1007/s00253-019-10177-7
Pubmed ID
Authors

Liyuan Hou, Sikandar I. Mulla, Juan Pablo Niño-Garcia, Daliang Ning, Azhar Rashid, Anyi Hu, Chang-Ping Yu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 17%
Researcher 3 10%
Student > Bachelor 3 10%
Lecturer > Senior Lecturer 1 3%
Student > Doctoral Student 1 3%
Other 3 10%
Unknown 14 47%
Readers by discipline Count As %
Environmental Science 4 13%
Agricultural and Biological Sciences 2 7%
Medicine and Dentistry 2 7%
Unspecified 1 3%
Immunology and Microbiology 1 3%
Other 3 10%
Unknown 17 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 28 October 2019.
All research outputs
#6,192,096
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#2,239
of 8,034 outputs
Outputs of similar age
#108,989
of 364,692 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#13
of 86 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 8,034 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 71% 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 364,692 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 69% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.