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

Mentioned by

patent
2 patents

Citations

dimensions_citation
296 Dimensions

Readers on

mendeley
400 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

Mendeley readers

The data shown below were compiled from readership statistics for 400 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 373 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 113 28%
Student > Ph. D. Student 92 23%
Student > Master 40 10%
Student > Doctoral Student 26 7%
Student > Bachelor 23 6%
Other 55 14%
Unknown 51 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 118 30%
Chemistry 81 20%
Biochemistry, Genetics and Molecular Biology 43 11%
Medicine and Dentistry 15 4%
Engineering 12 3%
Other 61 15%
Unknown 70 18%
Attention Score in Context

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
#4,760,740
of 23,036,991 outputs
Outputs from BMC Bioinformatics
#1,823
of 7,318 outputs
Outputs of similar age
#14,637
of 76,360 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 33 outputs
Altmetric has tracked 23,036,991 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 7,318 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 76,360 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 33 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 72% of its contemporaries.