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Genetic Counselors in Startup Companies: Redefining the Genetic Counselor Role

Overview of attention for article published in Journal of Genetic Counseling, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
11 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
49 Mendeley
Title
Genetic Counselors in Startup Companies: Redefining the Genetic Counselor Role
Published in
Journal of Genetic Counseling, January 2016
DOI 10.1007/s10897-015-9923-8
Pubmed ID
Authors

Marina M. Rabideau, Kenny Wong, Erynn S. Gordon, Lauren Ryan

Abstract

Genetic counselors (GCs) have recently begun moving into non-clinic based roles in increasing numbers. A relatively new role for GCs is working for startup companies. Startups are newly established companies in the phase of developing and researching new scalable businesses. This article explores the experiences of four GCs working at different startup companies and aims to provide resources for GCs interested in learning more about these types of roles. The article describes startup culture, including a relatively flat organizational structure, quick product iterations, and flexibility, among other unique cultural characteristics. Financial considerations are described, including how to understand and evaluate a company's financial status, along with a brief explanation of alternate forms of compensation including stock options and equity. Specifically, the article details the uncertainties and rewards of working in a fast-paced startup environment that affords opportunities to try new roles and use the genetic counseling skill set in new ways. This article aims to aid GCs in determining whether a startup environment would be a good fit, learning how to evaluate a specific startup, and understanding how to market themselves for positions at startups.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 18%
Researcher 6 12%
Student > Bachelor 6 12%
Other 4 8%
Student > Ph. D. Student 4 8%
Other 9 18%
Unknown 11 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 22%
Medicine and Dentistry 8 16%
Business, Management and Accounting 4 8%
Psychology 3 6%
Computer Science 2 4%
Other 7 14%
Unknown 14 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 30 August 2016.
All research outputs
#2,221,297
of 23,872,700 outputs
Outputs from Journal of Genetic Counseling
#78
of 1,201 outputs
Outputs of similar age
#40,046
of 400,906 outputs
Outputs of similar age from Journal of Genetic Counseling
#2
of 11 outputs
Altmetric has tracked 23,872,700 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,201 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 93% 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 400,906 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 90% of its contemporaries.
We're also able to compare this research output to 11 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 90% of its contemporaries.