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Perspective: a systems approach to diabetes research

Overview of attention for article published in Frontiers in Genetics, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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7 X users

Citations

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31 Dimensions

Readers on

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98 Mendeley
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2 CiteULike
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Title
Perspective: a systems approach to diabetes research
Published in
Frontiers in Genetics, January 2013
DOI 10.3389/fgene.2013.00205
Pubmed ID
Authors

Martin Kussmann, Melissa J. Morine, Jörg Hager, Bernhard Sonderegger, Jim Kaput

Abstract

We review here the status of human type 2 diabetes studies from a genetic, epidemiological, and clinical (intervention) perspective. Most studies limit analyses to one or a few omic technologies providing data of components of physiological processes. Since all chronic diseases are multifactorial and arise from complex interactions between genetic makeup and environment, type 2 diabetes mellitus (T2DM) is a collection of sub-phenotypes resulting in high fasting glucose. The underlying gene-environment interactions that produce these classes of T2DM are imperfectly characterized. Based on assessments of the complexity of T2DM, we propose a systems biology approach to advance the understanding of origin, onset, development, prevention, and treatment of this complex disease. This systems-based strategy is based on new study design principles and the integrated application of omics technologies: we pursue longitudinal studies in which each subject is analyzed at both homeostasis and after (healthy and safe) challenges. Each enrolled subject functions thereby as their own case and control and this design avoids assigning the subjects a priori to case and control groups based on limited phenotyping. Analyses at different time points along this longitudinal investigation are performed with a comprehensive set of omics platforms. These data sets are generated in a biological context, rather than biochemical compound class-driven manner, which we term "systems omics."

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 3 3%
Netherlands 2 2%
Switzerland 1 1%
France 1 1%
Brazil 1 1%
Malaysia 1 1%
Nigeria 1 1%
Korea, Republic of 1 1%
Spain 1 1%
Other 1 1%
Unknown 85 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 18%
Researcher 17 17%
Student > Master 16 16%
Student > Bachelor 13 13%
Professor 10 10%
Other 17 17%
Unknown 7 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 29%
Medicine and Dentistry 27 28%
Biochemistry, Genetics and Molecular Biology 16 16%
Nursing and Health Professions 3 3%
Chemistry 3 3%
Other 11 11%
Unknown 10 10%
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 27 December 2013.
All research outputs
#6,768,557
of 22,725,280 outputs
Outputs from Frontiers in Genetics
#2,046
of 11,757 outputs
Outputs of similar age
#73,822
of 280,762 outputs
Outputs of similar age from Frontiers in Genetics
#87
of 319 outputs
Altmetric has tracked 22,725,280 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,757 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 82% 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 280,762 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 73% of its contemporaries.
We're also able to compare this research output to 319 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 71% of its contemporaries.