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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Privacy-preserving record linkage using Bloom filters
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, August 2009
|
| DOI | 10.1186/1472-6947-9-41 |
| Pubmed ID | |
| Authors |
Rainer Schnell, Tobias Bachteler, Jörg Reiher |
| Abstract |
Combining multiple databases with disjunctive or additional information on the same person is occurring increasingly throughout research. If unique identification numbers for these individuals are not available, probabilistic record linkage is used for the identification of matching record pairs. In many applications, identifiers have to be encrypted due to privacy concerns. |
X Demographics
The data shown below were collected from the profiles of 9 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 | 2 | 22% |
| United Kingdom | 2 | 22% |
| United States | 1 | 11% |
| Netherlands | 1 | 11% |
| France | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 44% |
| Scientists | 3 | 33% |
| Practitioners (doctors, other healthcare professionals) | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 2% |
| Malaysia | 2 | 1% |
| Brazil | 2 | 1% |
| Switzerland | 1 | <1% |
| Australia | 1 | <1% |
| Sweden | 1 | <1% |
| Canada | 1 | <1% |
| Slovenia | 1 | <1% |
| Japan | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 132 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 25% |
| Student > Ph. D. Student | 28 | 19% |
| Student > Master | 13 | 9% |
| Student > Bachelor | 12 | 8% |
| Professor > Associate Professor | 9 | 6% |
| Other | 32 | 22% |
| Unknown | 15 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 62 | 43% |
| Medicine and Dentistry | 19 | 13% |
| Social Sciences | 7 | 5% |
| Mathematics | 6 | 4% |
| Nursing and Health Professions | 5 | 3% |
| Other | 22 | 15% |
| Unknown | 24 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 May 2022.
All research outputs
#2,413,447
of 22,664,644 outputs
Outputs from BMC Medical Informatics and Decision Making
#170
of 1,978 outputs
Outputs of similar age
#8,129
of 93,657 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 6 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 91% 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 93,657 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them