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Design and integration of a problem-based biofabrication course into an undergraduate biomedical engineering curriculum

Overview of attention for article published in Journal of Biological Engineering, September 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#41 of 261)
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
38 Mendeley
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Title
Design and integration of a problem-based biofabrication course into an undergraduate biomedical engineering curriculum
Published in
Journal of Biological Engineering, September 2016
DOI 10.1186/s13036-016-0032-5
Pubmed ID
Authors

Ritu Raman, Marlon Mitchell, Pablo Perez-Pinera, Rashid Bashir, Lizanne DeStefano

Abstract

The rapidly evolving discipline of biological and biomedical engineering requires adaptive instructional approaches that teach students to target and solve multi-pronged and ill-structured problems at the cutting edge of scientific research. Here we present a modular approach to designing a lab-based course in the emerging field of biofabrication and biological design, leading to a final capstone design project that requires students to formulate and test a hypothesis using the scientific method. Students were assessed on a range of metrics designed to evaluate the format of the course, the efficacy of the format for teaching new topics and concepts, and the depth of the contribution this course made to students training for biological engineering careers. The evaluation showed that the problem-based format of the course was well suited to teaching students how to use the scientific method to investigate and uncover the fundamental biological design rules that govern the field of biofabrication. We show that this approach is an efficient and effective method of translating emergent scientific principles from the lab bench to the classroom and training the next generation of biological and biomedical engineers for careers as researchers and industry practicians.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 16%
Student > Ph. D. Student 5 13%
Researcher 5 13%
Student > Master 5 13%
Student > Doctoral Student 4 11%
Other 8 21%
Unknown 5 13%
Readers by discipline Count As %
Engineering 11 29%
Business, Management and Accounting 4 11%
Medicine and Dentistry 3 8%
Agricultural and Biological Sciences 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 7 18%
Unknown 9 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 17 April 2017.
All research outputs
#2,759,692
of 22,889,074 outputs
Outputs from Journal of Biological Engineering
#41
of 261 outputs
Outputs of similar age
#48,469
of 320,659 outputs
Outputs of similar age from Journal of Biological Engineering
#1
of 5 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 261 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 84% 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 320,659 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 84% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them