| Title |
Social network differences of chronotypes identified from mobile phone data
|
|---|---|
| Published in |
EPJ Data Science, October 2018
|
| DOI | 10.1140/epjds/s13688-018-0174-4 |
| Authors |
Talayeh Aledavood, Sune Lehmann, Jari Saramäki |
X Demographics
The data shown below were collected from the profiles of 83 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 States | 12 | 14% |
| United Kingdom | 7 | 8% |
| Denmark | 5 | 6% |
| Germany | 3 | 4% |
| Japan | 2 | 2% |
| France | 2 | 2% |
| Finland | 2 | 2% |
| Canada | 2 | 2% |
| Spain | 2 | 2% |
| Other | 8 | 10% |
| Unknown | 38 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 50 | 60% |
| Scientists | 28 | 34% |
| Science communicators (journalists, bloggers, editors) | 3 | 4% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 19% |
| Student > Master | 10 | 13% |
| Researcher | 9 | 11% |
| Professor > Associate Professor | 8 | 10% |
| Student > Doctoral Student | 6 | 8% |
| Other | 12 | 15% |
| Unknown | 20 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 16% |
| Social Sciences | 12 | 15% |
| Business, Management and Accounting | 5 | 6% |
| Medicine and Dentistry | 5 | 6% |
| Engineering | 5 | 6% |
| Other | 14 | 18% |
| Unknown | 26 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 47. 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 July 2023.
All research outputs
#903,068
of 25,773,273 outputs
Outputs from EPJ Data Science
#71
of 459 outputs
Outputs of similar age
#19,375
of 363,049 outputs
Outputs of similar age from EPJ Data Science
#5
of 20 outputs
Altmetric has tracked 25,773,273 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 459 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has done well, scoring higher than 84% 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 363,049 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% 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 has done well, scoring higher than 75% of its contemporaries.