| Title |
The effect of data cleaning on record linkage quality
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2013
|
| DOI | 10.1186/1472-6947-13-64 |
| Pubmed ID | |
| Authors |
Sean M Randall, Anna M Ferrante, James H Boyd, James B Semmens |
| Abstract |
Within the field of record linkage, numerous data cleaning and standardisation techniques are employed to ensure the highest quality of links. While these facilities are common in record linkage software packages and are regularly deployed across record linkage units, little work has been published demonstrating the impact of data cleaning on linkage quality. |
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% |
| India | 2 | 18% |
| United States | 2 | 18% |
| Namibia | 1 | 9% |
| Peru | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Practitioners (doctors, other healthcare professionals) | 2 | 18% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 2% |
| Australia | 2 | 2% |
| United Kingdom | 2 | 2% |
| Netherlands | 1 | <1% |
| New Zealand | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 96 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 22% |
| Researcher | 22 | 21% |
| Student > Bachelor | 9 | 8% |
| Student > Doctoral Student | 8 | 7% |
| Student > Ph. D. Student | 8 | 7% |
| Other | 17 | 16% |
| Unknown | 19 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 44 | 41% |
| Medicine and Dentistry | 8 | 7% |
| Nursing and Health Professions | 7 | 7% |
| Social Sciences | 7 | 7% |
| Economics, Econometrics and Finance | 4 | 4% |
| Other | 20 | 19% |
| Unknown | 17 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 30 May 2017.
All research outputs
#3,675,662
of 23,566,295 outputs
Outputs from BMC Medical Informatics and Decision Making
#293
of 2,027 outputs
Outputs of similar age
#31,208
of 199,148 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#2
of 22 outputs
Altmetric has tracked 23,566,295 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,027 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 85% 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 199,148 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 84% of its contemporaries.
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 has done particularly well, scoring higher than 90% of its contemporaries.