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NMRFx Processor: a cross-platform NMR data processing program

Overview of attention for article published in Journal of Biomolecular NMR, July 2016
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  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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2 tweeters

Readers on

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13 Mendeley
Title
NMRFx Processor: a cross-platform NMR data processing program
Published in
Journal of Biomolecular NMR, July 2016
DOI 10.1007/s10858-016-0049-6
Pubmed ID
Authors

Michael Norris, Bayard Fetler, Jan Marchant, Bruce A. Johnson

Abstract

NMRFx Processor is a new program for the processing of NMR data. Written in the Java programming language, NMRFx Processor is a cross-platform application and runs on Linux, Mac OS X and Windows operating systems. The application can be run in both a graphical user interface (GUI) mode and from the command line. Processing scripts are written in the Python programming language and executed so that the low-level Java commands are automatically run in parallel on computers with multiple cores or CPUs. Processing scripts can be generated automatically from the parameters of NMR experiments or interactively constructed in the GUI. A wide variety of processing operations are provided, including methods for processing of non-uniformly sampled datasets using iterative soft thresholding. The interactive GUI also enables the use of the program as an educational tool for teaching basic and advanced techniques in NMR data analysis.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 38%
Researcher 4 31%
Unspecified 2 15%
Student > Master 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 31%
Chemistry 4 31%
Unspecified 2 15%
Agricultural and Biological Sciences 2 15%
Computer Science 1 8%
Other 0 0%

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 26 July 2016.
All research outputs
#4,314,440
of 8,133,552 outputs
Outputs from Journal of Biomolecular NMR
#152
of 314 outputs
Outputs of similar age
#141,431
of 257,633 outputs
Outputs of similar age from Journal of Biomolecular NMR
#2
of 6 outputs
Altmetric has tracked 8,133,552 research outputs across all sources so far. This one is in the 27th percentile – i.e., 27% of other outputs scored the same or lower than it.
So far Altmetric has tracked 314 research outputs from this source. They receive a mean Attention Score of 1.9. This one is in the 35th percentile – i.e., 35% 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 257,633 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.