| Title |
Identifying and predicting social lifestyles in people’s trajectories by neural networks
|
|---|---|
| Published in |
EPJ Data Science, October 2018
|
| DOI | 10.1140/epjds/s13688-018-0173-5 |
| Authors |
Eyal Ben Zion, Boaz Lerner |
X Demographics
The data shown below were collected from the profiles of 23 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 | 3 | 13% |
| United States | 3 | 13% |
| Korea, Republic of | 1 | 4% |
| Switzerland | 1 | 4% |
| France | 1 | 4% |
| Venezuela, Bolivarian Republic of | 1 | 4% |
| Canada | 1 | 4% |
| Chile | 1 | 4% |
| Unknown | 11 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 48% |
| Members of the public | 11 | 48% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 30% |
| Student > Master | 7 | 15% |
| Researcher | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Professor > Associate Professor | 3 | 6% |
| Other | 8 | 17% |
| Unknown | 9 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 36% |
| Engineering | 6 | 13% |
| Physics and Astronomy | 3 | 6% |
| Social Sciences | 3 | 6% |
| Mathematics | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 10 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 19 November 2018.
All research outputs
#2,713,537
of 23,108,064 outputs
Outputs from EPJ Data Science
#221
of 379 outputs
Outputs of similar age
#58,682
of 350,206 outputs
Outputs of similar age from EPJ Data Science
#17
of 20 outputs
Altmetric has tracked 23,108,064 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 379 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.0. This one is in the 41st percentile – i.e., 41% 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 350,206 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 83% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.