| Title |
Applying Hidden Markov Models to Voting Advice Applications
|
|---|---|
| Published in |
EPJ Data Science, December 2016
|
| DOI | 10.1140/epjds/s13688-016-0095-z |
| Authors |
Marilena Agathokleous, Nicolas Tsapatsoulis |
X Demographics
The data shown below were collected from the profiles of 11 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 | 4 | 36% |
| Cyprus | 2 | 18% |
| Kenya | 1 | 9% |
| United Kingdom | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 4 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 18% |
| Student > Bachelor | 3 | 11% |
| Student > Master | 2 | 7% |
| Professor | 1 | 4% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 14 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 32% |
| Arts and Humanities | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Mathematics | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 14 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 03 November 2020.
All research outputs
#2,173,101
of 24,998,746 outputs
Outputs from EPJ Data Science
#185
of 423 outputs
Outputs of similar age
#42,691
of 431,921 outputs
Outputs of similar age from EPJ Data Science
#4
of 5 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 423 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.0. This one has gotten more attention than average, scoring higher than 56% 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 431,921 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 90% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.