| Title |
Use of an Online Extraction Technique Coupled to Liquid Chromatography for Determination of Caffeine in Coffee, Tea, and Cocoa
|
|---|---|
| Published in |
Food Analytical Methods, April 2018
|
| DOI | 10.1007/s12161-018-1247-5 |
| Authors |
Marina Russo, Paola Dugo, Chiara Fanali, Laura Dugo, Mariosimone Zoccali, Luigi Mondello, Laura De Gara |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 26% |
| Student > Master | 7 | 18% |
| Other | 4 | 11% |
| Researcher | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 1 | 3% |
| Unknown | 10 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 8 | 21% |
| Agricultural and Biological Sciences | 6 | 16% |
| Engineering | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Business, Management and Accounting | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 17 | 45% |
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 17 April 2018.
All research outputs
#18,968,525
of 23,511,526 outputs
Outputs from Food Analytical Methods
#249
of 599 outputs
Outputs of similar age
#257,073
of 330,350 outputs
Outputs of similar age from Food Analytical Methods
#9
of 32 outputs
Altmetric has tracked 23,511,526 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 599 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 47th percentile – i.e., 47% 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 330,350 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.