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On the dynamical properties of a model of cell differentiation

Overview of attention for article published in EURASIP Journal on Bioinformatics & Systems Biology, February 2013
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1 Facebook page

Citations

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12 Dimensions

Readers on

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14 Mendeley
Title
On the dynamical properties of a model of cell differentiation
Published in
EURASIP Journal on Bioinformatics & Systems Biology, February 2013
DOI 10.1186/1687-4153-2013-4
Pubmed ID
Authors

Marco Villani, Roberto Serra

Abstract

One of the major challenges in complex systems biology is that of providing a general theoretical framework to describe the phenomena involved in cell differentiation, i.e., the process whereby stem cells, which can develop into different types, become progressively more specialized. The aim of this study is to briefly review a dynamical model of cell differentiation which is able to cover a broad spectrum of experimentally observed phenomena and to present some novel results.

Mendeley readers

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 %
United States 1 7%
Italy 1 7%
Unknown 12 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Professor > Associate Professor 3 21%
Student > Doctoral Student 2 14%
Student > Bachelor 2 14%
Researcher 2 14%
Other 1 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 71%
Mathematics 1 7%
Computer Science 1 7%
Physics and Astronomy 1 7%
Unknown 1 7%
Attention Score in Context

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 19 February 2013.
All research outputs
#23,154,082
of 25,806,080 outputs
Outputs from EURASIP Journal on Bioinformatics & Systems Biology
#42
of 53 outputs
Outputs of similar age
#182,189
of 205,669 outputs
Outputs of similar age from EURASIP Journal on Bioinformatics & Systems Biology
#2
of 3 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 53 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% 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 205,669 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.