| Title |
On combining Big Data and machine learning to support eco-driving behaviours
|
|---|---|
| Published in |
Journal of Big Data, July 2019
|
| DOI | 10.1186/s40537-019-0226-z |
| Authors |
Giovanni Delnevo, Pietro Di Lena, Silvia Mirri, Catia Prandi, Paola Salomoni |
X Demographics
The data shown below were collected from the profiles of 12 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 | 2 | 17% |
| Switzerland | 1 | 8% |
| France | 1 | 8% |
| Belgium | 1 | 8% |
| United States | 1 | 8% |
| Germany | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 15% |
| Student > Master | 10 | 14% |
| Researcher | 6 | 8% |
| Student > Doctoral Student | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Other | 10 | 14% |
| Unknown | 25 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 25% |
| Engineering | 15 | 21% |
| Business, Management and Accounting | 3 | 4% |
| Decision Sciences | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 25 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 04 October 2019.
All research outputs
#4,579,043
of 23,152,542 outputs
Outputs from Journal of Big Data
#85
of 346 outputs
Outputs of similar age
#90,741
of 346,247 outputs
Outputs of similar age from Journal of Big Data
#6
of 21 outputs
Altmetric has tracked 23,152,542 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 346 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done well, scoring higher than 75% 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 346,247 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 73% of its contemporaries.
We're also able to compare this research output to 21 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.