| Title |
Recommended strategies for spectral processing and post-processing of 1D 1H-NMR data of biofluids with a particular focus on urine
|
|---|---|
| Published in |
Metabolomics, February 2018
|
| DOI | 10.1007/s11306-018-1321-4 |
| Pubmed ID | |
| Authors |
Abdul-Hamid Emwas, Edoardo Saccenti, Xin Gao, Ryan T. McKay, Vitor A. P. Martins dos Santos, Raja Roy, David S. Wishart |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 267 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 267 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 18% |
| Researcher | 45 | 17% |
| Student > Master | 34 | 13% |
| Student > Bachelor | 29 | 11% |
| Student > Doctoral Student | 20 | 7% |
| Other | 30 | 11% |
| Unknown | 61 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 65 | 24% |
| Biochemistry, Genetics and Molecular Biology | 44 | 16% |
| Agricultural and Biological Sciences | 22 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 12 | 4% |
| Computer Science | 7 | 3% |
| Other | 44 | 16% |
| Unknown | 73 | 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 19 March 2018.
All research outputs
#17,932,284
of 26,017,215 outputs
Outputs from Metabolomics
#1,012
of 1,411 outputs
Outputs of similar age
#294,952
of 460,828 outputs
Outputs of similar age from Metabolomics
#31
of 37 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,411 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 20th percentile – i.e., 20% 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 460,828 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.