| Title |
Network of families in a contemporary population: regional and cultural assortativity
|
|---|---|
| Published in |
EPJ Data Science, April 2018
|
| DOI | 10.1140/epjds/s13688-018-0137-9 |
| Authors |
Kunal Bhattacharya, Venla Berg, Asim Ghosh, Daniel Monsivais, János Kertész, Kimmo Kaski, Anna Rotkirch |
X Demographics
The data shown below were collected from the profiles of 30 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 3 | 10% |
| United States | 3 | 10% |
| United Kingdom | 2 | 7% |
| Brazil | 2 | 7% |
| Colombia | 1 | 3% |
| Austria | 1 | 3% |
| Norway | 1 | 3% |
| Paraguay | 1 | 3% |
| Netherlands | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 14 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 67% |
| Scientists | 9 | 30% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 20% |
| Professor > Associate Professor | 3 | 15% |
| Researcher | 3 | 15% |
| Professor | 3 | 15% |
| Student > Master | 2 | 10% |
| Other | 4 | 20% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 7 | 35% |
| Computer Science | 3 | 15% |
| Physics and Astronomy | 3 | 15% |
| Psychology | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 3 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 26 April 2018.
All research outputs
#1,896,842
of 25,816,430 outputs
Outputs from EPJ Data Science
#158
of 460 outputs
Outputs of similar age
#39,252
of 341,984 outputs
Outputs of similar age from EPJ Data Science
#6
of 10 outputs
Altmetric has tracked 25,816,430 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 460 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.5. This one has gotten more attention than average, scoring higher than 65% 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 341,984 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 88% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.