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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Stem cell origin differently affects bone tissue engineering strategies
|
|---|---|
| Published in |
Frontiers in Physiology, September 2015
|
| DOI | 10.3389/fphys.2015.00266 |
| Pubmed ID | |
| Authors |
Monica Mattioli-Belmonte, Gabriella Teti, Viviana Salvatore, Stefano Focaroli, Monia Orciani, Manuela Dicarlo, Milena Fini, Giovanna Orsini, Roberto Di Primio, Mirella Falconi |
| Abstract |
Bone tissue engineering approaches are encouraging for the improvement of conventional bone grafting technique drawbacks. Thanks to their self-renewal and multi-lineage differentiation ability, stem cells are one of the major actors in tissue engineering approaches, and among these adult mesenchymal stem cells (MSCs) hold a great promise for regenerative medicine strategies. Bone marrow MSCs (BM-MSCs) are the first- identified and well-recognized stem cell population used in bone tissue engineering. Nevertheless, several factors hamper BM-MSC clinical application and subsequently, new stem cell sources have been investigated for these purposes. The fruitful selection and combination of tissue engineered scaffold, progenitor cells, and physiologic signaling molecules allowed the surgeon to reconstruct the missing natural tissue. On the basis of these considerations, we analyzed the capability of two different scaffolds, planned for osteochondral tissue regeneration, to modulate differentiation of adult stem cells of dissimilar local sources (i.e., periodontal ligament, maxillary periosteum) as well as adipose-derived stem cells (ASCs), in view of possible craniofacial tissue engineering strategies. We demonstrated that cells are differently committed toward the osteoblastic phenotype and therefore, taking into account their specific features, they could be intriguing cell sources in different stem cell-based bone/periodontal tissue regeneration approaches. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 25% |
| Switzerland | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 23% |
| Student > Master | 8 | 17% |
| Researcher | 6 | 13% |
| Student > Bachelor | 4 | 9% |
| Student > Postgraduate | 4 | 9% |
| Other | 8 | 17% |
| Unknown | 6 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 43% |
| Biochemistry, Genetics and Molecular Biology | 7 | 15% |
| Agricultural and Biological Sciences | 5 | 11% |
| Veterinary Science and Veterinary Medicine | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 6 | 13% |
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 06 October 2015.
All research outputs
#14,431,072
of 23,577,654 outputs
Outputs from Frontiers in Physiology
#5,120
of 14,284 outputs
Outputs of similar age
#139,123
of 275,989 outputs
Outputs of similar age from Frontiers in Physiology
#38
of 92 outputs
Altmetric has tracked 23,577,654 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 14,284 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 61% 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 275,989 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 92 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 56% of its contemporaries.