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The Impact of Postgraduate Health Technology Innovation Training: Outcomes of the Stanford Biodesign Fellowship

Overview of attention for article published in Annals of Biomedical Engineering, December 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#27 of 1,346)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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37 tweeters
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1 Facebook page

Citations

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7 Dimensions

Readers on

mendeley
30 Mendeley
Title
The Impact of Postgraduate Health Technology Innovation Training: Outcomes of the Stanford Biodesign Fellowship
Published in
Annals of Biomedical Engineering, December 2016
DOI 10.1007/s10439-016-1777-1
Pubmed ID
Authors

James Wall, Eva Hellman, Lyn Denend, Douglas Rait, Ross Venook, Linda Lucian, Dan Azagury, Paul G. Yock, Todd J. Brinton

Abstract

Stanford Biodesign launched its Innovation Fellowship in 2001 as a first-of-its kind postgraduate training experience for teaching biomedical technology innovators a need-driven process for developing medical technologies and delivering them to patients. Since then, many design-oriented educational programs have been initiated, yet the impact of this type of training remains poorly understood. This study measures the career focus, leadership trajectory, and productivity of 114 Biodesign Innovation Fellowship alumni based on survey data and public career information. It also compares alumni on certain publicly available metrics to finalists interviewed but not selected. Overall, 60% of alumni are employed in health technology in contrast to 35% of finalists interviewed but not selected. On leadership, 72% of alumni hold managerial or higher positions compared to 48% of the finalist group. A total of 67% of alumni reported that the fellowship had been "extremely beneficial" on their careers. As a measure of technology translation, more than 440,000 patients have been reached with technologies developed directly out of the Biodesign Innovation Fellowship, with another 1,000,000+ aided by solutions initiated by alumni after their training. This study suggests a positive impact of the fellowship program on the career focus, leadership, and productivity of its alumni.

Twitter Demographics

The data shown below were collected from the profiles of 37 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 17%
Researcher 5 17%
Other 4 13%
Professor > Associate Professor 3 10%
Student > Doctoral Student 3 10%
Other 10 33%
Readers by discipline Count As %
Medicine and Dentistry 6 20%
Engineering 6 20%
Biochemistry, Genetics and Molecular Biology 4 13%
Business, Management and Accounting 2 7%
Unspecified 2 7%
Other 10 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 02 August 2018.
All research outputs
#545,665
of 13,322,622 outputs
Outputs from Annals of Biomedical Engineering
#27
of 1,346 outputs
Outputs of similar age
#23,427
of 371,395 outputs
Outputs of similar age from Annals of Biomedical Engineering
#1
of 36 outputs
Altmetric has tracked 13,322,622 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,346 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 97% 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 371,395 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 36 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 97% of its contemporaries.