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Effective visualization of integrated knowledge and data to enable informed decisions in drug development and translational medicine

Overview of attention for article published in Journal of Translational Medicine, January 2013
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Mentioned by

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1 tweeter

Citations

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7 Dimensions

Readers on

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44 Mendeley
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Title
Effective visualization of integrated knowledge and data to enable informed decisions in drug development and translational medicine
Published in
Journal of Translational Medicine, January 2013
DOI 10.1186/1479-5876-11-250
Pubmed ID
Authors

Lena Brynne, Anders Bresell, Niclas Sjögren

Abstract

Integrative understanding of preclinical and clinical data is imperative to enable informed decisions and reduce the attrition rate during drug development. The volume and variety of data generated during drug development have increased tremendously. A new information model and visualization tool was developed to effectively utilize all available data and current knowledge. The Knowledge Plot integrates preclinical, clinical, efficacy and safety data by adding two concepts: knowledge from the different disciplines and protein binding.Internal and public available data were gathered and processed to allow flexible and interactive visualizations. The exposure was expressed as the unbound concentration of the compound and the treatment effect was normalized and scaled by including expert opinion on what a biologically meaningful treatment effect would be.The Knowledge Plot has been applied both retrospectively and prospectively in project teams in a number of different therapeutic areas, resulting in closer collaboration between multiple disciplines discussing both preclinical and clinical data. The Plot allows head to head comparisons of compounds and was used to support Candidate Drug selections and differentiation from comparators and competitors, back translation of clinical data, understanding the predictability of preclinical models and assays, reviewing drift in primary endpoints over the years, and evaluate or benchmark compounds in due diligence comparing multiple attributes.The Knowledge Plot concept allows flexible integration and visualization of relevant data for interpretation in order to enable scientific and informed decision-making in various stages of drug development. The concept can be used for communication, decision-making, knowledge management, and as a forward and back translational tool, that will result in an improved understanding of the competitive edge for a particular project or disease area portfolio. In addition, it also builds up a knowledge and translational continuum, which in turn will reduce the attrition rate and costs of clinical development by identifying poor candidates early.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 9%
Australia 1 2%
Unknown 39 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 25%
Other 8 18%
Student > Ph. D. Student 6 14%
Professor 4 9%
Student > Master 3 7%
Other 9 20%
Unknown 3 7%
Readers by discipline Count As %
Medicine and Dentistry 8 18%
Agricultural and Biological Sciences 7 16%
Computer Science 6 14%
Chemistry 3 7%
Psychology 3 7%
Other 12 27%
Unknown 5 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 October 2013.
All research outputs
#2,303,083
of 4,507,509 outputs
Outputs from Journal of Translational Medicine
#516
of 1,265 outputs
Outputs of similar age
#50,038
of 100,619 outputs
Outputs of similar age from Journal of Translational Medicine
#35
of 98 outputs
Altmetric has tracked 4,507,509 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,265 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 44th percentile – i.e., 44% 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 100,619 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
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 is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.