| Title |
Countrywide arrhythmia: emergency event detection using mobile phone data
|
|---|---|
| Published in |
EPJ Data Science, July 2016
|
| DOI | 10.1140/epjds/s13688-016-0086-0 |
| Authors |
Didem Gundogdu, Ozlem D Incel, Albert A Salah, Bruno Lepri |
X Demographics
The data shown below were collected from the profiles of 21 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 | 3 | 14% |
| Turkey | 3 | 14% |
| United States | 3 | 14% |
| France | 2 | 10% |
| United Kingdom | 2 | 10% |
| Germany | 1 | 5% |
| Switzerland | 1 | 5% |
| Denmark | 1 | 5% |
| Netherlands | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 4 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 48% |
| Members of the public | 9 | 43% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 2% |
| United States | 1 | 2% |
| France | 1 | 2% |
| Ireland | 1 | 2% |
| Unknown | 61 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 22% |
| Researcher | 8 | 12% |
| Student > Master | 6 | 9% |
| Professor | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Other | 13 | 20% |
| Unknown | 15 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 26% |
| Engineering | 6 | 9% |
| Social Sciences | 5 | 8% |
| Agricultural and Biological Sciences | 4 | 6% |
| Economics, Econometrics and Finance | 3 | 5% |
| Other | 12 | 18% |
| Unknown | 18 | 28% |
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 07 November 2016.
All research outputs
#3,281,999
of 25,714,183 outputs
Outputs from EPJ Data Science
#248
of 456 outputs
Outputs of similar age
#56,822
of 381,309 outputs
Outputs of similar age from EPJ Data Science
#8
of 9 outputs
Altmetric has tracked 25,714,183 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 456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.7. This one is in the 45th percentile – i.e., 45% 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 381,309 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 84% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.