| Title |
Large-scale and high-resolution analysis of food purchases and health outcomes
|
|---|---|
| Published in |
EPJ Data Science, April 2019
|
| DOI | 10.1140/epjds/s13688-019-0191-y |
| Authors |
Luca Maria Aiello, Rossano Schifanella, Daniele Quercia, Lucia Del Prete |
X Demographics
The data shown below were collected from the profiles of 102 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 Kingdom | 20 | 20% |
| United States | 12 | 12% |
| Italy | 5 | 5% |
| Spain | 3 | 3% |
| Chile | 3 | 3% |
| Sweden | 2 | 2% |
| Canada | 2 | 2% |
| Australia | 2 | 2% |
| Denmark | 2 | 2% |
| Other | 9 | 9% |
| Unknown | 42 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 53 | 52% |
| Scientists | 38 | 37% |
| Practitioners (doctors, other healthcare professionals) | 8 | 8% |
| Science communicators (journalists, bloggers, editors) | 3 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 117 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 18% |
| Student > Master | 17 | 15% |
| Student > Ph. D. Student | 16 | 14% |
| Student > Doctoral Student | 8 | 7% |
| Student > Bachelor | 6 | 5% |
| Other | 18 | 15% |
| Unknown | 31 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 15% |
| Medicine and Dentistry | 8 | 7% |
| Agricultural and Biological Sciences | 8 | 7% |
| Social Sciences | 7 | 6% |
| Engineering | 5 | 4% |
| Other | 29 | 25% |
| Unknown | 42 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 83. 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 30 January 2023.
All research outputs
#497,244
of 24,935,186 outputs
Outputs from EPJ Data Science
#31
of 419 outputs
Outputs of similar age
#11,097
of 356,098 outputs
Outputs of similar age from EPJ Data Science
#1
of 13 outputs
Altmetric has tracked 24,935,186 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 419 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.3. This one has done particularly well, scoring higher than 92% 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 356,098 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.