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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimal strategy for linkage of datasets containing a statistical linkage key and datasets with full personal identifiers
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2014
|
| DOI | 10.1186/1472-6947-14-85 |
| Pubmed ID | |
| Authors |
Lee K Taylor, Katie Irvine, Renee Iannotti, Taylor Harchak, Kim Lim |
| Abstract |
Linkage of aged care and hospitalisation data provides valuable information on patterns of health service utilisation among aged care service recipients. Many aged care datasets in Australia contain a Statistical Linkage Key (SLK-581) instead of full personal identifiers. We linked hospital and death records using a full probabilistic strategy, the SLK-581, and three combined strategies; and compared results for each strategy. |
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 % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 19% |
| Student > Master | 5 | 19% |
| Student > Ph. D. Student | 4 | 15% |
| Other | 2 | 7% |
| Librarian | 2 | 7% |
| Other | 5 | 19% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 37% |
| Computer Science | 4 | 15% |
| Economics, Econometrics and Finance | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 7 | 26% |
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 10 August 2016.
All research outputs
#15,467,800
of 24,975,845 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,132
of 2,119 outputs
Outputs of similar age
#133,079
of 258,155 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#16
of 22 outputs
Altmetric has tracked 24,975,845 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,119 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 258,155 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.