| Title |
Generalized Processing Tree Models: Jointly Modeling Discrete and Continuous Variables
|
|---|---|
| Published in |
Psychometrika, May 2018
|
| DOI | 10.1007/s11336-018-9622-0 |
| Pubmed ID | |
| Authors |
Daniel W. Heck, Edgar Erdfelder, Pascal J. Kieslich |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 39% |
| Student > Doctoral Student | 2 | 11% |
| Student > Master | 2 | 11% |
| Professor > Associate Professor | 2 | 11% |
| Researcher | 2 | 11% |
| Other | 1 | 6% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 9 | 50% |
| Social Sciences | 2 | 11% |
| Nursing and Health Professions | 1 | 6% |
| Decision Sciences | 1 | 6% |
| Linguistics | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 09 October 2018.
All research outputs
#14,442,765
of 24,843,842 outputs
Outputs from Psychometrika
#332
of 527 outputs
Outputs of similar age
#169,531
of 336,279 outputs
Outputs of similar age from Psychometrika
#2
of 4 outputs
Altmetric has tracked 24,843,842 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 527 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 336,279 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.