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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

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
101 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

Twitter Demographics

The data shown below were collected from the profiles of 5 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 2%
Italy 1 <1%
Germany 1 <1%
South Africa 1 <1%
United States 1 <1%
Unknown 95 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 32%
Student > Ph. D. Student 24 24%
Student > Master 14 14%
Student > Bachelor 6 6%
Professor 6 6%
Other 11 11%
Unknown 8 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 33%
Biochemistry, Genetics and Molecular Biology 19 19%
Medicine and Dentistry 9 9%
Computer Science 5 5%
Chemistry 4 4%
Other 14 14%
Unknown 17 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 October 2021.
All research outputs
#10,351,582
of 19,172,905 outputs
Outputs from BMC Bioinformatics
#3,193
of 6,531 outputs
Outputs of similar age
#126,038
of 292,221 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 22 outputs
Altmetric has tracked 19,172,905 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,531 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 50% 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 292,221 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 56% of its contemporaries.
We're also able to compare this research output to 22 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 68% of its contemporaries.