| Title |
The Non-uniqueness Property of the Intrinsic Estimator in APC Models
|
|---|---|
| Published in |
Demography, December 2014
|
| DOI | 10.1007/s13524-014-0360-3 |
| Pubmed ID | |
| Authors |
Ben Pelzer, Manfred te Grotenhuis, Rob Eisinga, Alexander W. Schmidt-Catran |
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 % |
|---|---|---|
| Australia | 2 | 18% |
| Brazil | 1 | 9% |
| United Kingdom | 1 | 9% |
| United States | 1 | 9% |
| Portugal | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Scientists | 5 | 45% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 5% |
| Unknown | 18 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 63% |
| Researcher | 3 | 16% |
| Professor | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Student > Postgraduate | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 7 | 37% |
| Medicine and Dentistry | 5 | 26% |
| Economics, Econometrics and Finance | 2 | 11% |
| Earth and Planetary Sciences | 1 | 5% |
| Arts and Humanities | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 3 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 28 January 2015.
All research outputs
#5,507,658
of 26,017,215 outputs
Outputs from Demography
#1,112
of 2,039 outputs
Outputs of similar age
#71,355
of 365,243 outputs
Outputs of similar age from Demography
#13
of 18 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.8. This one is in the 45th percentile – i.e., 45% 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 365,243 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 80% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.