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NMRProcFlow: a graphical and interactive tool dedicated to 1D spectra processing for NMR-based metabolomics

Overview of attention for article published in Metabolomics, February 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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10 X users

Citations

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135 Dimensions

Readers on

mendeley
121 Mendeley
Title
NMRProcFlow: a graphical and interactive tool dedicated to 1D spectra processing for NMR-based metabolomics
Published in
Metabolomics, February 2017
DOI 10.1007/s11306-017-1178-y
Pubmed ID
Authors

D. Jacob, C. Deborde, M. Lefebvre, M. Maucourt, A. Moing

Abstract

Concerning NMR-based metabolomics, 1D spectra processing often requires an expert eye for disentangling the intertwined peaks. The objective of NMRProcFlow is to assist the expert in this task in the best way without requirement of programming skills. NMRProcFlow was developed to be a graphical and interactive 1D NMR ((1)H & (13)C) spectra processing tool. NMRProcFlow (http://nmrprocflow.org), dedicated to metabolic fingerprinting and targeted metabolomics, covers all spectra processing steps including baseline correction, chemical shift calibration and alignment. Biologists and NMR spectroscopists can easily interact and develop synergies by visualizing the NMR spectra along with their corresponding experimental-factor levels, thus setting a bridge between experimental design and subsequent statistical analyses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 19%
Researcher 23 19%
Student > Master 20 17%
Student > Doctoral Student 11 9%
Student > Bachelor 11 9%
Other 15 12%
Unknown 18 15%
Readers by discipline Count As %
Chemistry 26 21%
Agricultural and Biological Sciences 24 20%
Biochemistry, Genetics and Molecular Biology 18 15%
Computer Science 6 5%
Engineering 5 4%
Other 17 14%
Unknown 25 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 06 March 2018.
All research outputs
#6,931,004
of 25,081,285 outputs
Outputs from Metabolomics
#371
of 1,370 outputs
Outputs of similar age
#103,369
of 315,260 outputs
Outputs of similar age from Metabolomics
#15
of 36 outputs
Altmetric has tracked 25,081,285 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,370 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 72% 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 315,260 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 66% of its contemporaries.
We're also able to compare this research output to 36 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 61% of its contemporaries.