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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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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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1 X user
patent
1 patent

Citations

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62 Dimensions

Readers on

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91 Mendeley
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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
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.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 91 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 85 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 29%
Student > Master 15 16%
Student > Ph. D. Student 14 15%
Professor 5 5%
Student > Doctoral Student 4 4%
Other 14 15%
Unknown 13 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 34%
Medicine and Dentistry 10 11%
Biochemistry, Genetics and Molecular Biology 6 7%
Computer Science 5 5%
Nursing and Health Professions 4 4%
Other 19 21%
Unknown 16 18%
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 09 February 2023.
All research outputs
#7,205,452
of 23,504,998 outputs
Outputs from BMC Medical Genomics
#341
of 1,262 outputs
Outputs of similar age
#64,612
of 244,981 outputs
Outputs of similar age from BMC Medical Genomics
#3
of 9 outputs
Altmetric has tracked 23,504,998 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,262 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 71% 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 244,981 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 72% of its contemporaries.
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 6 of them.