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On the hypothesis-free testing of metabolite ratios in genome-wide and metabolome-wide association studies

Overview of attention for article published in BMC Bioinformatics, June 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
21 X users

Citations

dimensions_citation
103 Dimensions

Readers on

mendeley
116 Mendeley
citeulike
3 CiteULike
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Title
On the hypothesis-free testing of metabolite ratios in genome-wide and metabolome-wide association studies
Published in
BMC Bioinformatics, June 2012
DOI 10.1186/1471-2105-13-120
Pubmed ID
Authors

Ann-Kristin Petersen, Jan Krumsiek, Brigitte Wägele, Fabian J Theis, H-Erich Wichmann, Christian Gieger, Karsten Suhre

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 2%
United States 1 <1%
Germany 1 <1%
South Africa 1 <1%
Unknown 111 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 28%
Student > Ph. D. Student 25 22%
Student > Master 16 14%
Student > Bachelor 8 7%
Student > Doctoral Student 6 5%
Other 11 9%
Unknown 17 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 30%
Biochemistry, Genetics and Molecular Biology 22 19%
Medicine and Dentistry 8 7%
Computer Science 6 5%
Chemistry 5 4%
Other 14 12%
Unknown 26 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 16 November 2022.
All research outputs
#3,028,471
of 25,595,500 outputs
Outputs from BMC Bioinformatics
#876
of 7,722 outputs
Outputs of similar age
#19,217
of 181,175 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 102 outputs
Altmetric has tracked 25,595,500 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,722 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 88% 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 181,175 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.