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Insulin-Like Growth Factor Axis Expression in Dental Pulp Cells Derived From Carious Teeth

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, April 2018
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Title
Insulin-Like Growth Factor Axis Expression in Dental Pulp Cells Derived From Carious Teeth
Published in
Frontiers in Bioengineering and Biotechnology, April 2018
DOI 10.3389/fbioe.2018.00036
Pubmed ID
Authors

Hanaa Esa Alkharobi, Hasanain Al-Khafaji, James Beattie, Deirdre Ann Devine, Reem El-Gendy

Abstract

The insulin-like growth factor (IGF) axis plays an important role in dental tissue regeneration and most components of this axis are expressed in human dental pulp cells (DPCs). In our previous study, we analyzed IGF axis gene expression in DPCs and demonstrated a novel role of IGF binding protein (IGFBP)-2 and -3 in coordinating mineralized matrix formation in differentiating DPCs. A more recent study from our laboratory partially characterized dental pulp stem cells from teeth with superficial caries (cDPCs) and showed that their potential to differentiate odontoblasts and/or into osteoblasts is enhanced by exposure to the mild inflammatory conditions characteristic of superficial caries. In the present study, we examine whether changes apparent in IGF axis expression during osteogenic differentiation of healthy DPCs are also apparent in DPCs derived from carious affected teeth.

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The data shown below were collected from the profiles of 2 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Student > Bachelor 4 13%
Other 3 9%
Student > Master 3 9%
Student > Postgraduate 2 6%
Other 3 9%
Unknown 11 34%
Readers by discipline Count As %
Medicine and Dentistry 16 50%
Arts and Humanities 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Chemical Engineering 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 1 3%
Unknown 11 34%
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 12 April 2018.
All research outputs
#19,285,443
of 23,870,803 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,651
of 7,368 outputs
Outputs of similar age
#259,446
of 331,280 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#37
of 51 outputs
Altmetric has tracked 23,870,803 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,368 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 32nd percentile – i.e., 32% 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 331,280 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 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.