| 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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Canada | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 33% |
| Researcher | 8 | 17% |
| Student > Bachelor | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Student > Master | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 12 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 13 | 27% |
| Biochemistry, Genetics and Molecular Biology | 11 | 23% |
| Agricultural and Biological Sciences | 4 | 8% |
| Computer Science | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 13 | 27% |
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
#18,170,238
of 23,342,664 outputs
Outputs from Journal of Biomolecular NMR
#447
of 617 outputs
Outputs of similar age
#269,705
of 367,381 outputs
Outputs of similar age from Journal of Biomolecular NMR
#3
of 6 outputs
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So far Altmetric has tracked 617 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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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 3 of them.