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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed
|
|---|---|
| Published in |
Journal of Food Composition & Analysis, January 2023
|
| DOI | 10.1016/j.jfca.2022.105020 |
| Authors |
Dragana Rajković, Ana Marjanović Jeromela, Lato Pezo, Biljana Lončar, Nada Grahovac, Ankica Kondić Špika |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 20% |
| Spain | 1 | 20% |
| Serbia | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 12% |
| Researcher | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Lecturer | 1 | 6% |
| Professor > Associate Professor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 10 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 24% |
| Agricultural and Biological Sciences | 1 | 6% |
| Chemical Engineering | 1 | 6% |
| Unknown | 11 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 10 November 2022.
All research outputs
#15,113,849
of 26,179,695 outputs
Outputs from Journal of Food Composition & Analysis
#673
of 1,196 outputs
Outputs of similar age
#194,689
of 487,410 outputs
Outputs of similar age from Journal of Food Composition & Analysis
#13
of 71 outputs
Altmetric has tracked 26,179,695 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,196 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one is in the 43rd percentile – i.e., 43% 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 487,410 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 59% of its contemporaries.
We're also able to compare this research output to 71 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.