| Title |
Engineering 3D Models of Tumors and Bone to Understand Tumor-Induced Bone Disease and Improve Treatments
|
|---|---|
| Published in |
Current Osteoporosis Reports, June 2017
|
| DOI | 10.1007/s11914-017-0385-9 |
| Pubmed ID | |
| Authors |
Kristin A. Kwakwa, Joseph P. Vanderburgh, Scott A. Guelcher, Julie A. Sterling |
| Abstract |
Bone is a structurally unique microenvironment that presents many challenges for the development of 3D models for studying bone physiology and diseases, including cancer. As researchers continue to investigate the interactions within the bone microenvironment, the development of 3D models of bone has become critical. 3D models have been developed that replicate some properties of bone, but have not fully reproduced the complex structural and cellular composition of the bone microenvironment. This review will discuss 3D models including polyurethane, silk, and collagen scaffolds that have been developed to study tumor-induced bone disease. In addition, we discuss 3D printing techniques used to better replicate the structure of bone. 3D models that better replicate the bone microenvironment will help researchers better understand the dynamic interactions between tumors and the bone microenvironment, ultimately leading to better models for testing therapeutics and predicting patient outcomes. |
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 % |
|---|---|---|
| Turkey | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 16% |
| Student > Master | 8 | 13% |
| Student > Bachelor | 7 | 11% |
| Researcher | 7 | 11% |
| Student > Doctoral Student | 6 | 9% |
| Other | 11 | 17% |
| Unknown | 15 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 23% |
| Medicine and Dentistry | 9 | 14% |
| Engineering | 7 | 11% |
| Mathematics | 4 | 6% |
| Agricultural and Biological Sciences | 4 | 6% |
| Other | 6 | 9% |
| Unknown | 19 | 30% |
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 27 June 2017.
All research outputs
#17,900,930
of 22,982,639 outputs
Outputs from Current Osteoporosis Reports
#361
of 549 outputs
Outputs of similar age
#226,555
of 316,289 outputs
Outputs of similar age from Current Osteoporosis Reports
#11
of 18 outputs
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So far Altmetric has tracked 549 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.