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The (Mathematical) Modeling Process in Biosciences

Overview of attention for article published in Frontiers in Genetics, December 2015
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3 X users

Citations

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43 Dimensions

Readers on

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149 Mendeley
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Title
The (Mathematical) Modeling Process in Biosciences
Published in
Frontiers in Genetics, December 2015
DOI 10.3389/fgene.2015.00354
Pubmed ID
Authors

Nestor V. Torres, Guido Santos

Abstract

In this communication, we introduce a general framework and discussion on the role of models and the modeling process in the field of biosciences. The objective is to sum up the common procedures during the formalization and analysis of a biological problem from the perspective of Systems Biology, which approaches the study of biological systems as a whole. We begin by presenting the definitions of (biological) system and model. Particular attention is given to the meaning of mathematical model within the context of biology. Then, we present the process of modeling and analysis of biological systems. Three stages are described in detail: conceptualization of the biological system into a model, mathematical formalization of the previous conceptual model and optimization and system management derived from the analysis of the mathematical model. All along this work the main features and shortcomings of the process are analyzed and a set of rules that could help in the task of modeling any biological system are presented. Special regard is given to the formative requirements and the interdisciplinary nature of this approach. We conclude with some general considerations on the challenges that modeling is posing to current biology.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Spain 1 <1%
United Kingdom 1 <1%
Unknown 145 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 19%
Student > Bachelor 22 15%
Student > Master 14 9%
Student > Doctoral Student 11 7%
Researcher 9 6%
Other 26 17%
Unknown 39 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 20%
Biochemistry, Genetics and Molecular Biology 21 14%
Engineering 11 7%
Computer Science 6 4%
Mathematics 6 4%
Other 31 21%
Unknown 44 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 August 2021.
All research outputs
#13,961,191
of 22,836,570 outputs
Outputs from Frontiers in Genetics
#3,521
of 11,822 outputs
Outputs of similar age
#197,877
of 390,618 outputs
Outputs of similar age from Frontiers in Genetics
#20
of 43 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,822 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 67% 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 390,618 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.