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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantification of Wine Mixtures with an Electronic Nose and a Human Panel
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, February 2018
|
| DOI | 10.3389/fbioe.2018.00014 |
| Pubmed ID | |
| Authors |
Manuel Aleixandre, Juan M. Cabellos, Teresa Arroyo, M. C. Horrillo |
| Abstract |
In this work, an electronic nose and a human panel were used for the quantification of wines formed by binary mixtures of four white grape varieties and two varieties of red wines at different percentages (from 0 to 100% in 10% steps for the electronic nose and from 0 to 100% in 25% steps for the human panel). The wines were prepared using the traditional method with commercial yeasts. Both techniques were able to quantify the mixtures tested, but it is important to note that the technology of the electronic nose is faster, simpler, and more objective than the human panel. In addition, better results of quantification were also obtained using the electronic nose. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 22% |
| Student > Master | 4 | 17% |
| Student > Doctoral Student | 3 | 13% |
| Professor | 2 | 9% |
| Student > Bachelor | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 5 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 26% |
| Chemistry | 3 | 13% |
| Chemical Engineering | 2 | 9% |
| Agricultural and Biological Sciences | 2 | 9% |
| Computer Science | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 6 | 26% |
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 12 February 2018.
All research outputs
#18,587,406
of 23,023,224 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,444
of 6,720 outputs
Outputs of similar age
#334,195
of 445,207 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#26
of 37 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,720 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 30th percentile – i.e., 30% 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 445,207 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% 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 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.