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Attention Score history
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Mendeley demographics
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Attention Score in Context
| Title |
Developing a biomimetic tooth bud model
|
|---|---|
| Published in |
Journal of Tissue Engineering and Regenerative Medicine, January 2017
|
| DOI | 10.1002/term.2246 |
| Pubmed ID | |
| Authors | |
| Abstract |
A long-term goal is to bioengineer, fully functional, living teeth for regenerative medicine and dentistry applications. Biologically based replacement teeth would avoid insufficiencies of the currently used dental implants. Using natural tooth development as a guide, a model was fabricated using post-natal porcine dental epithelial (pDE), porcine dental mesenchymal (pDM) progenitor cells, and human umbilical vein endothelial cells (HUVEC) encapsulated within gelatin methacrylate (GelMA) hydrogels. Previous publications have shown that post-natal DE and DM cells seeded onto synthetic scaffolds exhibited mineralized tooth crowns composed of dentin and enamel. However, these tooth structures were small and formed within the pores of the scaffolds. The present study shows that dental cell-encapsulated GelMA constructs can support mineralized dental tissue formation of predictable size and shape. Individually encapsulated pDE or pDM cell GelMA constructs were analysed to identify formulas that supported pDE and pDM cell attachment, spreading, metabolic activity, and neo-vasculature formation with co-seeded endothelial cells (HUVECs). GelMa constructs consisting of pDE-HUVECS in 3% GelMA and pDM-HUVECs within 5% GelMA supported dental cell differentiation and vascular mineralized dental tissue formation in vivo. These studies are the first to demonstrate the use of GelMA hydrogels to support the formation of post-natal dental progenitor cell-derived mineralized and functionally vascularized tissues of specified size and shape. These results introduce a novel three-dimensional biomimetic tooth bud model for eventual bioengineered tooth replacement teeth in humans. Copyright © 2017 John Wiley & Sons, Ltd. |
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Mendeley demographics
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 22% |
| Student > Doctoral Student | 6 | 10% |
| Student > Master | 6 | 10% |
| Researcher | 6 | 10% |
| Lecturer | 4 | 7% |
| Other | 8 | 14% |
| Unknown | 16 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 24% |
| Engineering | 7 | 12% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Materials Science | 5 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 17 | 29% |
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 24 February 2021.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Journal of Tissue Engineering and Regenerative Medicine
#268
of 1,019 outputs
Outputs of similar age
#145,781
of 421,814 outputs
Outputs of similar age from Journal of Tissue Engineering and Regenerative Medicine
#4
of 13 outputs
Altmetric has tracked 25,374,647 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 1,019 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 56% 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 421,814 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 50% of its contemporaries.
We're also able to compare this research output to 13 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 61% of its contemporaries.