| Title |
Modeling social dynamics in a collaborative environment
|
|---|---|
| Published in |
EPJ Data Science, September 2014
|
| DOI | 10.1140/epjds/s13688-014-0007-z |
| Authors |
Gerardo Iñiguez, János Török, Taha Yasseri, Kimmo Kaski, János Kertész |
X Demographics
The data shown below were collected from the profiles of 45 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 | 10 | 22% |
| United Kingdom | 4 | 9% |
| Brazil | 2 | 4% |
| France | 2 | 4% |
| Mexico | 2 | 4% |
| Finland | 2 | 4% |
| Turkey | 1 | 2% |
| Switzerland | 1 | 2% |
| Canada | 1 | 2% |
| Other | 6 | 13% |
| Unknown | 14 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 64% |
| Scientists | 15 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Malaysia | 1 | 1% |
| United Kingdom | 1 | 1% |
| Sri Lanka | 1 | 1% |
| Portugal | 1 | 1% |
| Denmark | 1 | 1% |
| Mexico | 1 | 1% |
| Japan | 1 | 1% |
| Russia | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 72 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 25% |
| Student > Ph. D. Student | 20 | 24% |
| Student > Master | 16 | 19% |
| Professor | 5 | 6% |
| Student > Bachelor | 3 | 4% |
| Other | 13 | 16% |
| Unknown | 5 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 18 | 22% |
| Computer Science | 17 | 20% |
| Physics and Astronomy | 13 | 16% |
| Business, Management and Accounting | 7 | 8% |
| Mathematics | 4 | 5% |
| Other | 17 | 20% |
| Unknown | 7 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 04 December 2014.
All research outputs
#1,059,268
of 24,780,938 outputs
Outputs from EPJ Data Science
#85
of 418 outputs
Outputs of similar age
#11,347
of 257,820 outputs
Outputs of similar age from EPJ Data Science
#2
of 15 outputs
Altmetric has tracked 24,780,938 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 418 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.8. This one has done well, scoring higher than 79% 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 257,820 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 95% 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 has done particularly well, scoring higher than 93% of its contemporaries.