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Leveraging Big Data in Pediatric Development Programs: Proceedings From the 2016 American College of Clinical Pharmacology Annual Meeting Symposium

Overview of attention for article published in Clinical Pharmacology & Therapeutics, January 2018
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Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Leveraging Big Data in Pediatric Development Programs: Proceedings From the 2016 American College of Clinical Pharmacology Annual Meeting Symposium
Published in
Clinical Pharmacology & Therapeutics, January 2018
DOI 10.1002/cpt.975
Pubmed ID
Authors

Lily Yeruk Mulugeta, Lynne Yao, Diane Mould, Brian Jacobs, Jeffrey Florian, Brian Smith, Vikram Sinha, Jeffrey S. Barrett

Abstract

This article discusses the use of big data in pediatric drug development. The article covers key topics discussed at the ACCP annual meeting symposium in 2016 including the extent to which big data or real-world data can inform clinical trial design and substitute for efficacy and safety data typically obtained in clinical trials. The current states of use, opportunities, and challenges with the use of big data in future pediatric drug development are discussed.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 45%
Student > Ph. D. Student 1 9%
Other 1 9%
Student > Bachelor 1 9%
Student > Doctoral Student 1 9%
Other 2 18%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 3 27%
Unspecified 2 18%
Biochemistry, Genetics and Molecular Biology 1 9%
Chemical Engineering 1 9%
Computer Science 1 9%
Other 3 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 January 2018.
All research outputs
#7,181,958
of 12,444,560 outputs
Outputs from Clinical Pharmacology & Therapeutics
#2,086
of 2,788 outputs
Outputs of similar age
#178,751
of 372,146 outputs
Outputs of similar age from Clinical Pharmacology & Therapeutics
#24
of 51 outputs
Altmetric has tracked 12,444,560 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,788 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 372,146 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.