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Visualization and identification of health space, based on personalized molecular phenotype and treatment response to relevant underlying biological processes

Overview of attention for article published in BMC Medical Genomics, January 2012
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Mentioned by

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1 tweeter

Citations

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57 Dimensions

Readers on

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86 Mendeley
Summary Twitter Dimensions citations
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Title
Visualization and identification of health space, based on personalized molecular phenotype and treatment response to relevant underlying biological processes
Published in
BMC Medical Genomics, January 2012
DOI 10.1186/1755-8794-5-1
Pubmed ID
22221319
Authors

Jildau Bouwman, Jack TWE Vogels, Suzan Wopereis, Carina M Rubingh, Sabina Bijlsma, Ben van Ommen

Abstract

Being able to visualize multivariate biological treatment effects can be insightful. However the axes in visualizations are often solely defined by variation and thus have no biological meaning. This makes the effects of treatment difficult to interpret.

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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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 3 3%
Spain 1 1%
Germany 1 1%
Switzerland 1 1%
Unknown 80 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 29%
Student > Master 15 17%
Student > Ph. D. Student 13 15%
Professor 5 6%
Student > Doctoral Student 4 5%
Other 15 17%
Unknown 9 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 35%
Medicine and Dentistry 10 12%
Biochemistry, Genetics and Molecular Biology 6 7%
Computer Science 5 6%
Nursing and Health Professions 4 5%
Other 19 22%
Unknown 12 14%

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 11 January 2012.
All research outputs
#18,303,566
of 22,661,413 outputs
Outputs from BMC Medical Genomics
#855
of 1,211 outputs
Outputs of similar age
#193,638
of 241,635 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 9 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,211 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 18th percentile – i.e., 18% 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 241,635 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.

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