| Title |
A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models
|
|---|---|
| Published in |
Advances in Data Analysis and Classification, August 2013
|
| DOI | 10.1007/s11634-013-0146-2 |
| Authors |
Daniel L. Oberski, Geert H. van Kollenburg, Jeroen K. Vermunt |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Panama | 1 | 3% |
| Unknown | 29 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 33% |
| Student > Doctoral Student | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Researcher | 3 | 10% |
| Professor > Associate Professor | 3 | 10% |
| Other | 2 | 7% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 6 | 20% |
| Social Sciences | 5 | 17% |
| Nursing and Health Professions | 3 | 10% |
| Mathematics | 2 | 7% |
| Environmental Science | 2 | 7% |
| Other | 6 | 20% |
| Unknown | 6 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 05 April 2016.
All research outputs
#14,174,202
of 22,716,996 outputs
Outputs from Advances in Data Analysis and Classification
#46
of 90 outputs
Outputs of similar age
#110,986
of 197,278 outputs
Outputs of similar age from Advances in Data Analysis and Classification
#2
of 4 outputs
Altmetric has tracked 22,716,996 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 90 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 47th percentile – i.e., 47% 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 197,278 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% 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.