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Comprehensive analysis of NMR data using advanced line shape fitting

Overview of attention for article published in Journal of Biomolecular NMR, October 2017
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Title
Comprehensive analysis of NMR data using advanced line shape fitting
Published in
Journal of Biomolecular NMR, October 2017
DOI 10.1007/s10858-017-0141-6
Pubmed ID
Authors

Markus Niklasson, Renee Otten, Alexandra Ahlner, Cecilia Andresen, Judith Schlagnitweit, Katja Petzold, Patrik Lundström

Abstract

NMR spectroscopy is uniquely suited for atomic resolution studies of biomolecules such as proteins, nucleic acids and metabolites, since detailed information on structure and dynamics are encoded in positions and line shapes of peaks in NMR spectra. Unfortunately, accurate determination of these parameters is often complicated and time consuming, in part due to the need for different software at the various analysis steps and for validating the results. Here, we present an integrated, cross-platform and open-source software that is significantly more versatile than the typical line shape fitting application. The software is a completely redesigned version of PINT ( https://pint-nmr.github.io/PINT/ ). It features a graphical user interface and includes functionality for peak picking, editing of peak lists and line shape fitting. In addition, the obtained peak intensities can be used directly to extract, for instance, relaxation rates, heteronuclear NOE values and exchange parameters. In contrast to most available software the entire process from spectral visualization to preparation of publication-ready figures is done solely using PINT and often within minutes, thereby, increasing productivity for users of all experience levels. Unique to the software are also the outstanding tools for evaluating the quality of the fitting results and extensive, but easy-to-use, customization of the fitting protocol and graphical output. In this communication, we describe the features of the new version of PINT and benchmark its performance.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 108 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 27%
Researcher 20 19%
Student > Bachelor 12 11%
Other 9 8%
Professor > Associate Professor 6 6%
Other 14 13%
Unknown 18 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 34 31%
Chemistry 19 18%
Agricultural and Biological Sciences 9 8%
Engineering 6 6%
Medicine and Dentistry 6 6%
Other 10 9%
Unknown 24 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 October 2017.
All research outputs
#16,752,019
of 24,640,106 outputs
Outputs from Journal of Biomolecular NMR
#389
of 571 outputs
Outputs of similar age
#211,249
of 331,684 outputs
Outputs of similar age from Journal of Biomolecular NMR
#7
of 8 outputs
Altmetric has tracked 24,640,106 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 571 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 331,684 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.