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Nmrglue: an open source Python package for the analysis of multidimensional NMR data

Overview of attention for article published in Journal of Biomolecular NMR, March 2013
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

googleplus
3 Google+ users

Citations

dimensions_citation
252 Dimensions

Readers on

mendeley
237 Mendeley
citeulike
1 CiteULike
Title
Nmrglue: an open source Python package for the analysis of multidimensional NMR data
Published in
Journal of Biomolecular NMR, March 2013
DOI 10.1007/s10858-013-9718-x
Pubmed ID
Authors

Jonathan J. Helmus, Christopher P. Jaroniec

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Denmark 2 <1%
Germany 1 <1%
France 1 <1%
United Kingdom 1 <1%
Portugal 1 <1%
Brazil 1 <1%
Canada 1 <1%
Unknown 225 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 70 30%
Researcher 49 21%
Student > Bachelor 17 7%
Student > Master 17 7%
Student > Doctoral Student 14 6%
Other 27 11%
Unknown 43 18%
Readers by discipline Count As %
Chemistry 74 31%
Biochemistry, Genetics and Molecular Biology 36 15%
Agricultural and Biological Sciences 21 9%
Physics and Astronomy 12 5%
Engineering 11 5%
Other 24 10%
Unknown 59 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 June 2015.
All research outputs
#7,462,560
of 22,815,414 outputs
Outputs from Journal of Biomolecular NMR
#132
of 614 outputs
Outputs of similar age
#64,674
of 194,163 outputs
Outputs of similar age from Journal of Biomolecular NMR
#1
of 6 outputs
Altmetric has tracked 22,815,414 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 614 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 48th percentile – i.e., 48% 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 194,163 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% 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 all of them