↓ Skip to main content

Protein backbone and sidechain torsion angles predicted from NMR chemical shifts using artificial neural networks

Overview of attention for article published in Journal of Biomolecular NMR, June 2013
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 580)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
patent
4 patents

Citations

dimensions_citation
926 Dimensions

Readers on

mendeley
421 Mendeley
citeulike
3 CiteULike
Title
Protein backbone and sidechain torsion angles predicted from NMR chemical shifts using artificial neural networks
Published in
Journal of Biomolecular NMR, June 2013
DOI 10.1007/s10858-013-9741-y
Pubmed ID
Authors

Yang Shen, Ad Bax

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 421 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 416 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 110 26%
Researcher 73 17%
Student > Master 41 10%
Student > Bachelor 32 8%
Student > Doctoral Student 25 6%
Other 54 13%
Unknown 86 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 119 28%
Chemistry 85 20%
Agricultural and Biological Sciences 76 18%
Engineering 8 2%
Computer Science 7 2%
Other 22 5%
Unknown 104 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 31 October 2023.
All research outputs
#2,468,721
of 26,017,215 outputs
Outputs from Journal of Biomolecular NMR
#7
of 580 outputs
Outputs of similar age
#20,307
of 209,007 outputs
Outputs of similar age from Journal of Biomolecular NMR
#1
of 5 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 580 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 96% 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 209,007 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 5 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