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Parameter adaptations during phenotype transitions in progressive diseases

Overview of attention for article published in BMC Systems Biology, October 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
2 tweeters

Citations

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17 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Parameter adaptations during phenotype transitions in progressive diseases
Published in
BMC Systems Biology, October 2011
DOI 10.1186/1752-0509-5-174
Pubmed ID
Authors

Christian A Tiemann, Christian A Tiemann, Joep Vanlier, Peter AJ Hilbers, Natal AW van Riel

Abstract

The study of phenotype transitions is important to understand progressive diseases, e.g., diabetes mellitus, metabolic syndrome, and cardiovascular diseases. A challenge remains to explain phenotype transitions in terms of adaptations in molecular components and interactions in underlying biological systems.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 4%
France 1 2%
United Kingdom 1 2%
Switzerland 1 2%
Unknown 43 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 40%
Researcher 11 23%
Student > Master 4 8%
Professor 3 6%
Other 3 6%
Other 7 15%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 25%
Biochemistry, Genetics and Molecular Biology 10 21%
Medicine and Dentistry 6 13%
Engineering 5 10%
Unspecified 4 8%
Other 10 21%
Unknown 1 2%

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 30 March 2012.
All research outputs
#1,927,521
of 4,655,094 outputs
Outputs from BMC Systems Biology
#241
of 703 outputs
Outputs of similar age
#20,984
of 70,392 outputs
Outputs of similar age from BMC Systems Biology
#7
of 42 outputs
Altmetric has tracked 4,655,094 research outputs across all sources so far. This one has received more attention than most of these and is in the 56th percentile.
So far Altmetric has tracked 703 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 62% 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 70,392 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 67% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.