| Title |
Design and validation of an osteochondral bioreactor for the screening of treatments for osteoarthritis
|
|---|---|
| Published in |
Biomedical Microdevices, February 2018
|
| DOI | 10.1007/s10544-018-0264-x |
| Pubmed ID | |
| Authors |
Derek A. Nichols, Inderbir S. Sondh, Steven R. Litte, Paolo Zunino, Riccardo Gottardi |
| Abstract |
Bioreactors are systems that can be used to monitor the response of tissues and cells to candidate drugs. Building on the experience developed in the creation of an osteochondral bioreactor, we have designed a new 3D printed system, which allows optical access to the cells throughout testing for in line monitoring. Because of the use of 3D printing, the fluidics could be developed in the third dimension, thus maintaining the footprint of a single well of a typical 96 well plate. This new design was optimized to achieve the maximum fluid transport through the central chamber, which corresponds to optimal nutrient or drug exposure. This optimization was achieved by altering each dimension of the bioreactor fluid path. A physical model for optimized drug exposure was then created and tested. |
X Demographics
The data shown below were collected from the profiles of 11 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 States | 7 | 64% |
| Spain | 2 | 18% |
| Unknown | 2 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 19% |
| Student > Ph. D. Student | 13 | 19% |
| Student > Master | 11 | 16% |
| Student > Bachelor | 8 | 12% |
| Student > Doctoral Student | 3 | 4% |
| Other | 4 | 6% |
| Unknown | 15 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 25 | 37% |
| Biochemistry, Genetics and Molecular Biology | 9 | 13% |
| Agricultural and Biological Sciences | 3 | 4% |
| Chemical Engineering | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 21 | 31% |
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 03 June 2018.
All research outputs
#3,732,822
of 23,023,224 outputs
Outputs from Biomedical Microdevices
#78
of 754 outputs
Outputs of similar age
#86,270
of 446,257 outputs
Outputs of similar age from Biomedical Microdevices
#2
of 6 outputs
Altmetric has tracked 23,023,224 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 754 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 89% 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 446,257 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 80% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.