| Title |
Efficient and generalized processing of multidimensional NUS NMR data: the NESTA algorithm and comparison of regularization terms
|
|---|---|
| Published in |
Journal of Biomolecular NMR, March 2015
|
| DOI | 10.1007/s10858-015-9923-x |
| Pubmed ID | |
| Authors |
Shangjin Sun, Michelle Gill, Yifei Li, Mitchell Huang, R. Andrew Byrd |
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 % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Poland | 1 | 2% |
| France | 1 | 2% |
| Unknown | 47 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 29% |
| Researcher | 12 | 24% |
| Student > Master | 5 | 10% |
| Professor | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 10 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 14 | 27% |
| Biochemistry, Genetics and Molecular Biology | 11 | 22% |
| Agricultural and Biological Sciences | 6 | 12% |
| Engineering | 2 | 4% |
| Physics and Astronomy | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 16 | 31% |
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 04 April 2015.
All research outputs
#15,328,338
of 22,797,621 outputs
Outputs from Journal of Biomolecular NMR
#381
of 614 outputs
Outputs of similar age
#157,075
of 263,449 outputs
Outputs of similar age from Journal of Biomolecular NMR
#3
of 12 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 28th percentile – i.e., 28% 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 263,449 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.