| Title |
Energy consumption prediction using people dynamics derived from cellular network data
|
|---|---|
| Published in |
EPJ Data Science, March 2016
|
| DOI | 10.1140/epjds/s13688-016-0075-3 |
| Authors |
Andrey Bogomolov, Bruno Lepri, Roberto Larcher, Fabrizio Antonelli, Fabio Pianesi, Alex Pentland |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 9% |
| France | 2 | 9% |
| Spain | 1 | 5% |
| Japan | 1 | 5% |
| Turkey | 1 | 5% |
| Thailand | 1 | 5% |
| United Kingdom | 1 | 5% |
| Ireland | 1 | 5% |
| Unknown | 12 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 64% |
| Scientists | 5 | 23% |
| Science communicators (journalists, bloggers, editors) | 2 | 9% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Sri Lanka | 1 | <1% |
| France | 1 | <1% |
| Unknown | 127 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 19% |
| Researcher | 17 | 13% |
| Student > Master | 17 | 13% |
| Student > Doctoral Student | 8 | 6% |
| Student > Bachelor | 8 | 6% |
| Other | 18 | 14% |
| Unknown | 38 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 22% |
| Engineering | 18 | 14% |
| Energy | 6 | 5% |
| Business, Management and Accounting | 5 | 4% |
| Environmental Science | 4 | 3% |
| Other | 26 | 20% |
| Unknown | 43 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 08 February 2017.
All research outputs
#2,635,064
of 25,880,422 outputs
Outputs from EPJ Data Science
#221
of 455 outputs
Outputs of similar age
#41,368
of 318,200 outputs
Outputs of similar age from EPJ Data Science
#14
of 15 outputs
Altmetric has tracked 25,880,422 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 455 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.9. This one has gotten more attention than average, scoring higher than 51% 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 318,200 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 86% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.