| Title |
Optimizing 1D 1H-NMR profiling of plant samples for high throughput analysis: extract preparation, standardization, automation and spectra processing
|
|---|---|
| Published in |
Metabolomics, February 2019
|
| DOI | 10.1007/s11306-019-1488-3 |
| Pubmed ID | |
| Authors |
Catherine Deborde, Jean-Xavier Fontaine, Daniel Jacob, Adolfo Botana, Valérie Nicaise, Florence Richard-Forget, Sylvain Lecomte, Cédric Decourtil, Kamar Hamade, François Mesnard, Annick Moing, Roland Molinié |
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 % |
|---|---|---|
| France | 2 | 17% |
| South Africa | 1 | 8% |
| Malaysia | 1 | 8% |
| United States | 1 | 8% |
| India | 1 | 8% |
| Canada | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 3 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 131 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 17% |
| Student > Master | 21 | 16% |
| Researcher | 17 | 13% |
| Student > Bachelor | 10 | 8% |
| Other | 7 | 5% |
| Other | 15 | 11% |
| Unknown | 39 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 29 | 22% |
| Agricultural and Biological Sciences | 28 | 21% |
| Biochemistry, Genetics and Molecular Biology | 7 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 4% |
| Computer Science | 3 | 2% |
| Other | 12 | 9% |
| Unknown | 47 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 26 May 2019.
All research outputs
#5,082,088
of 25,163,238 outputs
Outputs from Metabolomics
#258
of 1,373 outputs
Outputs of similar age
#99,752
of 359,978 outputs
Outputs of similar age from Metabolomics
#13
of 48 outputs
Altmetric has tracked 25,163,238 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,373 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 81% 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 359,978 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 72% of its contemporaries.
We're also able to compare this research output to 48 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.