| Title |
Statistically correlating NMR spectra and LC-MS data to facilitate the identification of individual metabolites in metabolomics mixtures
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, February 2019
|
| DOI | 10.1007/s00216-019-01600-z |
| Pubmed ID | |
| Authors |
Xing Li, Huan Luo, Tao Huang, Li Xu, Xiaohuo Shi, Kaifeng Hu |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 13% |
| United States | 1 | 13% |
| Canada | 1 | 13% |
| United Kingdom | 1 | 13% |
| India | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 20% |
| Student > Master | 7 | 16% |
| Researcher | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Other | 2 | 5% |
| Other | 7 | 16% |
| Unknown | 14 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 10 | 23% |
| Biochemistry, Genetics and Molecular Biology | 9 | 20% |
| Agricultural and Biological Sciences | 4 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Unspecified | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 14 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 06 April 2019.
All research outputs
#8,478,408
of 25,385,509 outputs
Outputs from Analytical & Bioanalytical Chemistry
#2,173
of 9,619 outputs
Outputs of similar age
#150,520
of 366,743 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#37
of 216 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 77% 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 366,743 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.
We're also able to compare this research output to 216 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.