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A Computational Analysis of Bone Formation in the Cranial Vault in the Mouse

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, March 2015
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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Title
A Computational Analysis of Bone Formation in the Cranial Vault in the Mouse
Published in
Frontiers in Bioengineering and Biotechnology, March 2015
DOI 10.3389/fbioe.2015.00024
Pubmed ID
Authors

Chanyoung Lee, Joan T. Richtsmeier, Reuben H. Kraft

Abstract

Bones of the cranial vault are formed by the differentiation of mesenchymal cells into osteoblasts on a surface that surrounds the brain, eventually forming mineralized bone. Signaling pathways causative for cell differentiation include the actions of extracellular proteins driven by information from genes. We assume that the interaction of cells and extracellular molecules, which are associated with cell differentiation, can be modeled using Turing's reaction-diffusion model, a mathematical model for pattern formation controlled by two interacting molecules (activator and inhibitor). In this study, we hypothesize that regions of high concentration of an activator develop into primary centers of ossification, the earliest sites of cranial vault bone. In addition to the Turing model, we use another diffusion equation to model a morphogen (potentially the same as the morphogen associated with formation of ossification centers) associated with bone growth. These mathematical models were solved using the finite volume method. The computational domain and model parameters are determined using a large collection of experimental data showing skull bone formation in mouse at different embryonic days in mice carrying disease causing mutations and their unaffected littermates. The results show that the relative locations of the five ossification centers that form in our model occur at the same position as those identified in experimental data. As bone grows from these ossification centers, sutures form between the bones.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 31%
Researcher 4 10%
Student > Master 4 10%
Student > Bachelor 3 8%
Student > Postgraduate 2 5%
Other 5 13%
Unknown 9 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 23%
Medicine and Dentistry 6 15%
Biochemistry, Genetics and Molecular Biology 5 13%
Engineering 3 8%
Mathematics 2 5%
Other 2 5%
Unknown 12 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 April 2015.
All research outputs
#12,725,419
of 22,796,179 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,338
of 6,524 outputs
Outputs of similar age
#117,499
of 263,733 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#14
of 45 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,524 research outputs from this source. They receive a mean Attention Score of 3.4. 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 263,733 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 54% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.