| Title |
Wine Analysis and Authenticity Using 1H-NMR Metabolomics Data: Application to Chinese Wines
|
|---|---|
| Published in |
Food Analytical Methods, July 2018
|
| DOI | 10.1007/s12161-018-1310-2 |
| Authors |
Louis Gougeon, Gregory Da Costa, Inès Le Mao, Wen Ma, Pierre-Louis Teissedre, François Guyon, Tristan Richard |
X Demographics
The data shown below were collected from the profiles of 6 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 | 33% |
| Comoros | 1 | 17% |
| United Kingdom | 1 | 17% |
| Canada | 1 | 17% |
| Peru | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 11% |
| Student > Master | 7 | 11% |
| Student > Bachelor | 6 | 10% |
| Student > Doctoral Student | 4 | 7% |
| Researcher | 4 | 7% |
| Other | 7 | 11% |
| Unknown | 26 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 14 | 23% |
| Agricultural and Biological Sciences | 11 | 18% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Business, Management and Accounting | 2 | 3% |
| Environmental Science | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 27 | 44% |
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 08 August 2018.
All research outputs
#7,258,850
of 23,099,576 outputs
Outputs from Food Analytical Methods
#58
of 582 outputs
Outputs of similar age
#123,414
of 326,344 outputs
Outputs of similar age from Food Analytical Methods
#3
of 29 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 582 research outputs from this source. They receive a mean Attention Score of 1.9. This one has done particularly well, scoring higher than 90% 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 326,344 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 61% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.