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TopoFilter: a MATLAB package for mechanistic model identification in systems biology

Overview of attention for article published in BMC Bioinformatics, January 2020
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
15 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
27 Mendeley
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Title
TopoFilter: a MATLAB package for mechanistic model identification in systems biology
Published in
BMC Bioinformatics, January 2020
DOI 10.1186/s12859-020-3343-y
Pubmed ID
Authors

Mikołaj Rybiński, Simon Möller, Mikael Sunnåker, Claude Lormeau, Jörg Stelling

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 22%
Student > Ph. D. Student 6 22%
Lecturer 2 7%
Student > Bachelor 2 7%
Student > Doctoral Student 1 4%
Other 2 7%
Unknown 8 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 22%
Mathematics 3 11%
Computer Science 2 7%
Engineering 2 7%
Agricultural and Biological Sciences 1 4%
Other 3 11%
Unknown 10 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 18 May 2020.
All research outputs
#3,344,050
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#1,216
of 7,387 outputs
Outputs of similar age
#81,756
of 453,168 outputs
Outputs of similar age from BMC Bioinformatics
#34
of 183 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 83% 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 453,168 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 81% of its contemporaries.
We're also able to compare this research output to 183 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.