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Optimized GC–MS metabolomics for the analysis of kidney tissue metabolites

Overview of attention for article published in Metabolomics, May 2018
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
26 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
18 Mendeley
Title
Optimized GC–MS metabolomics for the analysis of kidney tissue metabolites
Published in
Metabolomics, May 2018
DOI 10.1007/s11306-018-1373-5
Pubmed ID
Authors

Biswapriya B. Misra, Ram P. Upadhayay, Laura A. Cox, Michael Olivier

Twitter Demographics

The data shown below were collected from the profiles of 26 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 28%
Student > Bachelor 3 17%
Researcher 2 11%
Student > Ph. D. Student 2 11%
Other 1 6%
Other 0 0%
Unknown 5 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 33%
Chemistry 4 22%
Agricultural and Biological Sciences 3 17%
Unknown 5 28%

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 14 November 2019.
All research outputs
#1,405,904
of 13,897,220 outputs
Outputs from Metabolomics
#87
of 940 outputs
Outputs of similar age
#46,219
of 276,839 outputs
Outputs of similar age from Metabolomics
#4
of 44 outputs
Altmetric has tracked 13,897,220 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 940 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 done particularly well, scoring higher than 90% 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 276,839 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 83% of its contemporaries.
We're also able to compare this research output to 44 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 90% of its contemporaries.