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Opportunities and Challenges for Drug Development: Public–Private Partnerships, Adaptive Designs and Big Data

Overview of attention for article published in Frontiers in Pharmacology, December 2016
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Title
Opportunities and Challenges for Drug Development: Public–Private Partnerships, Adaptive Designs and Big Data
Published in
Frontiers in Pharmacology, December 2016
DOI 10.3389/fphar.2016.00461
Pubmed ID
Authors

Oktay Yildirim, Matthias Gottwald, Peter Schüler, Martin C. Michel

Abstract

Drug development faces the double challenge of increasing costs and increasing pressure on pricing. To avoid that lack of perceived commercial perspective will leave existing medical needs unmet, pharmaceutical companies and many other stakeholders are discussing ways to improve the efficiency of drug Research and Development. Based on an international symposium organized by the Medical School of the University of Duisburg-Essen (Germany) and held in January 2016, we discuss the opportunities and challenges of three specific areas, i.e., public-private partnerships, adaptive designs and big data. Public-private partnerships come in many different forms with regard to scope, duration and type and number of participants. They range from project-specific collaborations to strategic alliances to large multi-party consortia. Each of them offers specific opportunities and faces distinct challenges. Among types of collaboration, investigator-initiated studies are becoming increasingly popular but have legal, ethical, and financial implications. Adaptive trial designs are also increasingly discussed. However, adaptive should not be used as euphemism for the repurposing of a failed trial; rather it requires carefully planning and specification before a trial starts. Adaptive licensing can be a counter-part of adaptive trial design. The use of Big Data is another opportunity to leverage existing information into knowledge useable for drug discovery and development. Respecting limitations of informed consent and privacy is a key challenge in the use of Big Data. Speakers and participants at the symposium were convinced that appropriate use of the above new options may indeed help to increase the efficiency of future drug development.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 225 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 15%
Researcher 27 12%
Student > Ph. D. Student 25 11%
Student > Bachelor 23 10%
Other 8 4%
Other 28 12%
Unknown 80 36%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 25 11%
Biochemistry, Genetics and Molecular Biology 21 9%
Medicine and Dentistry 21 9%
Agricultural and Biological Sciences 15 7%
Chemistry 10 4%
Other 49 22%
Unknown 84 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 December 2016.
All research outputs
#7,159,304
of 22,908,162 outputs
Outputs from Frontiers in Pharmacology
#2,974
of 16,202 outputs
Outputs of similar age
#131,890
of 419,595 outputs
Outputs of similar age from Frontiers in Pharmacology
#38
of 153 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 16,202 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 81% 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 419,595 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 68% of its contemporaries.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.