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Stage-specific differential gene expression profiling and functional network analysis during morphogenesis of diphyodont dentition in miniature pigs, Sus Scrofa

Overview of attention for article published in BMC Genomics, February 2014
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Title
Stage-specific differential gene expression profiling and functional network analysis during morphogenesis of diphyodont dentition in miniature pigs, Sus Scrofa
Published in
BMC Genomics, February 2014
DOI 10.1186/1471-2164-15-103
Pubmed ID
Authors

Fu Wang, Jing Xiao, Wei Cong, Ang Li, Fulan Wei, Junji Xu, Chunmei Zhang, Zhipeng Fan, Junqi He, Songlin Wang

Abstract

Our current knowledge of tooth development derives mainly from studies in mice, which have only one set of non-replaced teeth, compared with the diphyodont dentition in humans. The miniature pig is also diphyodont, making it a valuable alternative model for understanding human tooth development and replacement. However, little is known about gene expression and function during swine odontogenesis. The goal of this study is to undertake the survey of differential gene expression profiling and functional network analysis during morphogenesis of diphyodont dentition in miniature pigs. The identification of genes related to diphyodont development should lead to a better understanding of morphogenetic patterns and the mechanisms of diphyodont replacement in large animal models and humans.

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The data shown below were collected from the profile of 1 X user 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Student > Ph. D. Student 5 17%
Student > Bachelor 4 13%
Student > Doctoral Student 3 10%
Student > Master 3 10%
Other 6 20%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 33%
Biochemistry, Genetics and Molecular Biology 7 23%
Medicine and Dentistry 4 13%
Unspecified 1 3%
Social Sciences 1 3%
Other 3 10%
Unknown 4 13%
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 06 February 2014.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from BMC Genomics
#9,840
of 11,244 outputs
Outputs of similar age
#282,459
of 322,480 outputs
Outputs of similar age from BMC Genomics
#173
of 203 outputs
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So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 203 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.