| Title |
The Circular Economy and retail: using Deep Learning to predict business survival
|
|---|---|
| Published in |
Environmental Sciences Europe, January 2022
|
| DOI | 10.1186/s12302-021-00582-z |
| Authors |
Juan Uribe-Toril, José Luis Ruiz-Real, Alejandro C. Galindo Durán, José Antonio Torres Arriaza, Jaime de Pablo Valenciano |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 12% |
| France | 2 | 12% |
| United States | 2 | 12% |
| India | 2 | 12% |
| Kenya | 1 | 6% |
| Peru | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 6 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 88% |
| Scientists | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 7% |
| Student > Bachelor | 5 | 5% |
| Lecturer | 5 | 5% |
| Researcher | 5 | 5% |
| Student > Master | 5 | 5% |
| Other | 13 | 14% |
| Unknown | 53 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 6 | 7% |
| Engineering | 6 | 7% |
| Business, Management and Accounting | 6 | 7% |
| Unspecified | 4 | 4% |
| Agricultural and Biological Sciences | 4 | 4% |
| Other | 11 | 12% |
| Unknown | 55 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 16 June 2022.
All research outputs
#2,748,417
of 25,155,561 outputs
Outputs from Environmental Sciences Europe
#133
of 559 outputs
Outputs of similar age
#65,279
of 516,617 outputs
Outputs of similar age from Environmental Sciences Europe
#5
of 14 outputs
Altmetric has tracked 25,155,561 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 559 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.4. This one has done well, scoring higher than 76% 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 516,617 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 87% 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 has gotten more attention than average, scoring higher than 71% of its contemporaries.