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IMPARO: inferring microbial interactions through parameter optimisation

Overview of attention for article published in BMC Molecular and Cell Biology, August 2020
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Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
14 Mendeley
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Title
IMPARO: inferring microbial interactions through parameter optimisation
Published in
BMC Molecular and Cell Biology, August 2020
DOI 10.1186/s12860-020-00269-y
Pubmed ID
Authors

Rajith Vidanaarachchi, Marnie Shaw, Sen-Lin Tang, Saman Halgamuge

Twitter Demographics

The data shown below were collected from the profiles of 3 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Student > Bachelor 2 14%
Student > Postgraduate 2 14%
Professor 1 7%
Researcher 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 21%
Environmental Science 2 14%
Computer Science 2 14%
Unspecified 1 7%
Physics and Astronomy 1 7%
Other 2 14%
Unknown 3 21%

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 22 August 2020.
All research outputs
#14,418,864
of 18,708,811 outputs
Outputs from BMC Molecular and Cell Biology
#58
of 110 outputs
Outputs of similar age
#215,418
of 307,850 outputs
Outputs of similar age from BMC Molecular and Cell Biology
#1
of 1 outputs
Altmetric has tracked 18,708,811 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 110 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 42nd percentile – i.e., 42% 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 307,850 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them