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Reproducible Research Using Biomodels

Overview of attention for article published in Bulletin of Mathematical Biology, September 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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Citations

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18 Dimensions

Readers on

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21 Mendeley
Title
Reproducible Research Using Biomodels
Published in
Bulletin of Mathematical Biology, September 2018
DOI 10.1007/s11538-018-0498-z
Pubmed ID
Authors

Pedro Mendes

Abstract

Like other types of computational research, modeling and simulation of biological processes (biomodels) is still largely communicated without sufficient detail to allow independent reproduction of results. But reproducibility in this area of research could easily be achieved by making use of existing resources, such as supplying models in standard formats and depositing code, models, and results in public repositories.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 29%
Professor 6 29%
Other 2 10%
Student > Master 2 10%
Student > Doctoral Student 1 5%
Other 2 10%
Unknown 2 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 43%
Biochemistry, Genetics and Molecular Biology 2 10%
Medicine and Dentistry 2 10%
Mathematics 1 5%
Computer Science 1 5%
Other 3 14%
Unknown 3 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 27 October 2018.
All research outputs
#5,028,297
of 24,742,536 outputs
Outputs from Bulletin of Mathematical Biology
#153
of 1,170 outputs
Outputs of similar age
#91,560
of 340,880 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#8
of 56 outputs
Altmetric has tracked 24,742,536 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,170 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 87% 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 340,880 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 73% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.