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Mendeley readers
Attention Score in Context
| Title |
Effect of collagen‐glycosaminoglycan scaffold pore size on matrix mineralization and cellular behavior in different cell types
|
|---|---|
| Published in |
Journal of Biomedical Materials Research, Part A, October 2015
|
| DOI | 10.1002/jbm.a.35567 |
| Pubmed ID | |
| Authors |
Ciara M Murphy, Garry P Duffy, Aaron Schindeler, Fergal J O'brien |
| Abstract |
We have previously examined osteoblast behaviour on porous collagen-glycosaminoglycan (CG) scaffolds with a range of mean pore sizes demonstrating superior cell attachment and migration in scaffolds with the largest pores (325μm). Scaffolds provide a framework for construct development; therefore, it is crucial to identify the optimal pore size for augmented tissue formation. Utilising the same range of scaffolds (85μm - 325μm), this study aimed to examine the effects of mean pore size on subsequent osteoblast differentiation and matrix mineralisation, and to understand the mechanism by which pore size influences behaviour of different cell types. Consequently, primary mesenchymal stem cells (MSCs) were assessed and their behaviour compared to osteoblasts. Results demonstrated that scaffolds with the largest pore size (325μm) facilitated improved osteoblast infiltration, earlier expression of mature bone markers osteopontin (OPN) and osteocalcin (OCN), and increased mineralisation. MSCs responded similarly to osteoblasts whereby cell attachment and scaffold infiltration improved with increasing pore size. However, MSCs showed reduced cell motility, proliferation, and scaffold infiltration compared to osteoblasts. This was associated with differences in the profile of integrin subunits (α2) and collagen receptors (CD44), indicating that osteoblasts have a stronger affinity for CG scaffolds compared to MSCs. In summary, these results reveal how larger pores promote improved cell infiltration, essential for construct development, however the optimal scaffold pore size can be cell type specific. As such, this study highlights a necessity to tailor both scaffold micro-architecture and cell-type when designing constructs for successful bone tissue engineering applications. This article is protected by copyright. All rights reserved. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 24% |
| Student > Master | 13 | 16% |
| Researcher | 9 | 11% |
| Student > Doctoral Student | 5 | 6% |
| Student > Bachelor | 5 | 6% |
| Other | 14 | 17% |
| Unknown | 17 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 18 | 22% |
| Medicine and Dentistry | 11 | 13% |
| Materials Science | 8 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 30 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 10 July 2016.
All research outputs
#4,191,555
of 25,371,288 outputs
Outputs from Journal of Biomedical Materials Research, Part A
#250
of 2,627 outputs
Outputs of similar age
#52,116
of 286,873 outputs
Outputs of similar age from Journal of Biomedical Materials Research, Part A
#2
of 27 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,627 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 90% 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 286,873 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.