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Continuous-time modeling of cell fate determination in Arabidopsis flowers

Overview of attention for article published in BMC Systems Biology, July 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Citations

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Readers on

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69 Mendeley
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Title
Continuous-time modeling of cell fate determination in Arabidopsis flowers
Published in
BMC Systems Biology, July 2010
DOI 10.1186/1752-0509-4-101
Pubmed ID
Authors

Simon van Mourik, Aalt DJ van Dijk, Maarten de Gee, Richard GH Immink, Kerstin Kaufmann, Gerco C Angenent, Roeland CHJ van Ham, Jaap Molenaar

Abstract

The genetic control of floral organ specification is currently being investigated by various approaches, both experimentally and through modeling. Models and simulations have mostly involved boolean or related methods, and so far a quantitative, continuous-time approach has not been explored.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 3%
France 1 1%
Brazil 1 1%
Belgium 1 1%
Spain 1 1%
Unknown 63 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 22%
Researcher 15 22%
Student > Bachelor 9 13%
Student > Master 9 13%
Student > Doctoral Student 5 7%
Other 9 13%
Unknown 7 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 68%
Biochemistry, Genetics and Molecular Biology 5 7%
Mathematics 2 3%
Physics and Astronomy 2 3%
Computer Science 2 3%
Other 3 4%
Unknown 8 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 January 2024.
All research outputs
#6,377,613
of 22,660,862 outputs
Outputs from BMC Systems Biology
#232
of 1,142 outputs
Outputs of similar age
#29,487
of 94,405 outputs
Outputs of similar age from BMC Systems Biology
#4
of 16 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 78% 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 94,405 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 66% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.