You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Efficient algorithms for fast integration on large data sets from multiple sources
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2012
|
| DOI | 10.1186/1472-6947-12-59 |
| Pubmed ID | |
| Authors |
Tian Mi, Sanguthevar Rajasekaran, Robert Aseltine |
| Abstract |
Recent large scale deployments of health information technology have created opportunities for the integration of patient medical records with disparate public health, human service, and educational databases to provide comprehensive information related to health and development. Data integration techniques, which identify records belonging to the same individual that reside in multiple data sets, are essential to these efforts. Several algorithms have been proposed in the literatures that are adept in integrating records from two different datasets. Our algorithms are aimed at integrating multiple (in particular more than two) datasets efficiently. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 67% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| India | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 48 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 24% |
| Researcher | 8 | 16% |
| Student > Postgraduate | 5 | 10% |
| Other | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 11 | 22% |
| Unknown | 7 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 25% |
| Medicine and Dentistry | 12 | 24% |
| Engineering | 6 | 12% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 10 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 18 September 2014.
All research outputs
#6,109,584
of 22,669,724 outputs
Outputs from BMC Medical Informatics and Decision Making
#557
of 1,978 outputs
Outputs of similar age
#42,843
of 164,434 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#15
of 52 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 71% 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 164,434 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.