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Efficient computation of stochastic cell-size transient dynamics

Overview of attention for article published in BMC Bioinformatics, December 2019
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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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Efficient computation of stochastic cell-size transient dynamics
Published in
BMC Bioinformatics, December 2019
DOI 10.1186/s12859-019-3213-7
Pubmed ID
Authors

Cesar Augusto Nieto-Acuna, Cesar Augusto Vargas-Garcia, Abhyudai Singh, Juan Manuel Pedraza

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 31%
Professor 3 19%
Student > Bachelor 1 6%
Student > Ph. D. Student 1 6%
Student > Doctoral Student 1 6%
Other 0 0%
Unknown 5 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 13%
Medicine and Dentistry 2 13%
Physics and Astronomy 2 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Chemical Engineering 1 6%
Other 3 19%
Unknown 5 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 31 December 2019.
All research outputs
#3,893,654
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#1,447
of 7,400 outputs
Outputs of similar age
#89,378
of 460,245 outputs
Outputs of similar age from BMC Bioinformatics
#43
of 211 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 80% 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 460,245 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 80% of its contemporaries.
We're also able to compare this research output to 211 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.