| Title |
Imaging the hard/soft tissue interface
|
|---|---|
| Published in |
Biotechnology Techniques, October 2013
|
| DOI | 10.1007/s10529-013-1374-4 |
| Pubmed ID | |
| Authors |
Alistair Bannerman, Jennifer Z. Paxton, Liam M. Grover |
| Abstract |
Interfaces between different tissues play an essential role in the biomechanics of native tissues and their recapitulation is now recognized as critical to function. As a consequence, imaging the hard/soft tissue interface has become increasingly important in the area of tissue engineering. Particularly as several biotechnology based products have made it onto the market or are close to human trials and an understanding of their function and development is essential. A range of imaging modalities have been developed that allow a wealth of information on the morphological and physical properties of samples to be obtained non-destructively in vivo or via destructive means. This review summarizes the use of a selection of imaging modalities on interfaces to date considering the strengths and weaknesses of each. We will also consider techniques which have not yet been utilized to their full potential or are likely to play a role in future work in the area. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 28% |
| Researcher | 6 | 13% |
| Student > Master | 6 | 13% |
| Student > Bachelor | 5 | 11% |
| Student > Doctoral Student | 2 | 4% |
| Other | 9 | 20% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 7 | 15% |
| Engineering | 6 | 13% |
| Medicine and Dentistry | 5 | 11% |
| Agricultural and Biological Sciences | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 11 | 24% |
| Unknown | 11 | 24% |
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 19 October 2013.
All research outputs
#16,580,596
of 25,374,917 outputs
Outputs from Biotechnology Techniques
#2,177
of 2,762 outputs
Outputs of similar age
#133,686
of 223,617 outputs
Outputs of similar age from Biotechnology Techniques
#18
of 28 outputs
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We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.