| Title |
MultiSCED: A tool for (meta-)analyzing single-case experimental data with multilevel modeling
|
|---|---|
| Published in |
Behavior Research Methods, April 2019
|
| DOI | 10.3758/s13428-019-01216-2 |
| Pubmed ID | |
| Authors |
Lies Declercq, Wilfried Cools, S. Natasha Beretvas, Mariola Moeyaert, John M. Ferron, Wim Van den Noortgate |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 20% |
| United States | 1 | 20% |
| Belgium | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 2 | 40% |
| Scientists | 2 | 40% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 20% |
| Researcher | 8 | 17% |
| Professor | 5 | 11% |
| Student > Bachelor | 3 | 7% |
| Professor > Associate Professor | 3 | 7% |
| Other | 9 | 20% |
| Unknown | 9 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 19 | 41% |
| Medicine and Dentistry | 4 | 9% |
| Social Sciences | 3 | 7% |
| Nursing and Health Professions | 2 | 4% |
| Unspecified | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 12 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 11 February 2020.
All research outputs
#3,642,035
of 25,637,545 outputs
Outputs from Behavior Research Methods
#437
of 2,561 outputs
Outputs of similar age
#75,404
of 367,323 outputs
Outputs of similar age from Behavior Research Methods
#16
of 50 outputs
Altmetric has tracked 25,637,545 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,561 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 82% 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 367,323 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 79% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.