| Title |
Using Deep Neural Networks to Reconstruct Non-uniformly Sampled NMR Spectra
|
|---|---|
| Published in |
Journal of Biomolecular NMR, July 2019
|
| DOI | 10.1007/s10858-019-00265-1 |
| Pubmed ID | |
| Authors |
D. Flemming Hansen |
X Demographics
The data shown below were collected from the profiles of 12 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 Kingdom | 5 | 42% |
| India | 2 | 17% |
| Canada | 2 | 17% |
| United States | 2 | 17% |
| Denmark | 1 | 8% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 58% |
| Scientists | 5 | 42% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 99 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 22% |
| Researcher | 16 | 16% |
| Student > Bachelor | 8 | 8% |
| Student > Master | 6 | 6% |
| Other | 4 | 4% |
| Other | 12 | 12% |
| Unknown | 31 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 23 | 23% |
| Biochemistry, Genetics and Molecular Biology | 12 | 12% |
| Engineering | 7 | 7% |
| Physics and Astronomy | 6 | 6% |
| Computer Science | 5 | 5% |
| Other | 10 | 10% |
| Unknown | 36 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 19 October 2020.
All research outputs
#4,018,804
of 24,311,255 outputs
Outputs from Journal of Biomolecular NMR
#49
of 567 outputs
Outputs of similar age
#76,277
of 350,194 outputs
Outputs of similar age from Journal of Biomolecular NMR
#4
of 12 outputs
Altmetric has tracked 24,311,255 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 567 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 91% 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 350,194 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 78% of its contemporaries.
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.