↓ Skip to main content

Difficulty in inferring microbial community structure based on co-occurrence network approaches

Overview of attention for article published in BMC Bioinformatics, June 2019
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
37 tweeters

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
158 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Difficulty in inferring microbial community structure based on co-occurrence network approaches
Published in
BMC Bioinformatics, June 2019
DOI 10.1186/s12859-019-2915-1
Pubmed ID
Authors

Hokuto Hirano, Kazuhiro Takemoto

Twitter Demographics

The data shown below were collected from the profiles of 37 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 158 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 33%
Student > Master 23 15%
Researcher 22 14%
Student > Bachelor 14 9%
Student > Doctoral Student 10 6%
Other 14 9%
Unknown 23 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 25%
Biochemistry, Genetics and Molecular Biology 31 20%
Environmental Science 16 10%
Immunology and Microbiology 10 6%
Computer Science 9 6%
Other 22 14%
Unknown 30 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 November 2019.
All research outputs
#1,212,513
of 17,822,916 outputs
Outputs from BMC Bioinformatics
#275
of 6,280 outputs
Outputs of similar age
#30,103
of 276,799 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 45 outputs
Altmetric has tracked 17,822,916 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,280 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 95% 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 276,799 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 89% of its contemporaries.
We're also able to compare this research output to 45 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 99% of its contemporaries.