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Normalization method for metabolomics data using optimal selection of multiple internal standards

Overview of attention for article published in BMC Bioinformatics, March 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
257 Dimensions

Readers on

mendeley
365 Mendeley
citeulike
4 CiteULike
connotea
2 Connotea
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Title
Normalization method for metabolomics data using optimal selection of multiple internal standards
Published in
BMC Bioinformatics, March 2007
DOI 10.1186/1471-2105-8-93
Pubmed ID
Authors

Marko Sysi-Aho, Mikko Katajamaa, Laxman Yetukuri, Matej Orešič

Mendeley readers

The data shown below were compiled from readership statistics for 365 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 1%
United States 4 1%
United Kingdom 4 1%
France 2 <1%
Netherlands 2 <1%
Denmark 2 <1%
Austria 2 <1%
India 1 <1%
Belgium 1 <1%
Other 5 1%
Unknown 338 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 111 30%
Student > Ph. D. Student 87 24%
Student > Master 38 10%
Student > Doctoral Student 22 6%
Student > Bachelor 22 6%
Other 50 14%
Unknown 35 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 114 31%
Chemistry 79 22%
Biochemistry, Genetics and Molecular Biology 33 9%
Medicine and Dentistry 16 4%
Engineering 12 3%
Other 57 16%
Unknown 54 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 September 2018.
All research outputs
#4,379,714
of 21,565,581 outputs
Outputs from BMC Bioinformatics
#1,745
of 6,974 outputs
Outputs of similar age
#83,558
of 298,519 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 24 outputs
Altmetric has tracked 21,565,581 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,974 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 73% 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 298,519 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 71% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.