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Cyberbiosecurity in Advanced Manufacturing Models

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, September 2019
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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74 Mendeley
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Title
Cyberbiosecurity in Advanced Manufacturing Models
Published in
Frontiers in Bioengineering and Biotechnology, September 2019
DOI 10.3389/fbioe.2019.00210
Pubmed ID
Authors

Donovan Guttieres, Shannon Stewart, Jacqueline Wolfrum, Stacy L. Springs

Abstract

Cybersecurity for the production of safe and effective biopharmaceuticals requires the attention of multiple stakeholders, including industry, governments, and healthcare providers. Cyberbiosecurity breaches could directly impact patients, from compromised data privacy to disruptions in production that jeopardize global pandemic response. Maintaining cybersecurity in the modern economy, where advanced manufacturing technologies and digital strategies are becoming the norm, is a significant challenge. Here, we highlight vulnerabilities in present and future biomanufacturing paradigms given the dependence of this industry sector on proprietary intellectual property, cyber-physical systems, and government-regulated production environments, as well as movement toward advanced manufacturing models. Specifically, we (1) present an analysis of digital information flow in a typical biopharmaceutical manufacturing value chain; (2) consider the potential cyberbiosecurity risks that might emerge from advanced manufacturing models such as continuous and distributed systems; and (3) provide recommendations for risk mitigation. While advanced manufacturing models hold the potential for reducing costs and increasing access to more personalized therapies, the evolving landscape of the biopharmaceutical enterprise has led to growing concerns over potential cyber attacks. Gaining better foresight on potential risks is key for implementing proactive defensive principles, framing new developments, and establishing a permanent security culture that adapts to new challenges while maintaining the transparency required for regulated production of safe and effective medicines.

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 16%
Researcher 7 9%
Student > Doctoral Student 7 9%
Student > Ph. D. Student 6 8%
Student > Bachelor 3 4%
Other 12 16%
Unknown 27 36%
Readers by discipline Count As %
Engineering 11 15%
Business, Management and Accounting 8 11%
Computer Science 6 8%
Biochemistry, Genetics and Molecular Biology 4 5%
Medicine and Dentistry 4 5%
Other 15 20%
Unknown 26 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 March 2023.
All research outputs
#14,558,777
of 25,411,814 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,697
of 8,520 outputs
Outputs of similar age
#169,550
of 350,479 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#34
of 98 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,520 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 79% 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 350,479 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.