| Title |
On the predictability of the popularity of online recipes
|
|---|---|
| Published in |
EPJ Data Science, July 2018
|
| DOI | 10.1140/epjds/s13688-018-0149-5 |
| Authors |
Christoph Trattner, Dominik Moesslang, David Elsweiler |
X Demographics
The data shown below were collected from the profiles of 14 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 | 2 | 14% |
| Germany | 1 | 7% |
| Italy | 1 | 7% |
| Canada | 1 | 7% |
| United Kingdom | 1 | 7% |
| Norway | 1 | 7% |
| Unknown | 7 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 50% |
| Scientists | 6 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 24% |
| Student > Master | 9 | 15% |
| Student > Bachelor | 6 | 10% |
| Student > Doctoral Student | 3 | 5% |
| Researcher | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 14 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 32% |
| Physics and Astronomy | 3 | 5% |
| Social Sciences | 3 | 5% |
| Business, Management and Accounting | 3 | 5% |
| Agricultural and Biological Sciences | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 19 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 15 May 2022.
All research outputs
#2,991,580
of 24,506,807 outputs
Outputs from EPJ Data Science
#229
of 408 outputs
Outputs of similar age
#58,755
of 332,055 outputs
Outputs of similar age from EPJ Data Science
#11
of 14 outputs
Altmetric has tracked 24,506,807 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 408 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.5. 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 332,055 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.