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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Text data extraction for a prospective, research-focused data mart: implementation and validation
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2012
|
| DOI | 10.1186/1472-6947-12-106 |
| Pubmed ID | |
| Authors |
Monique Hinchcliff, Eric Just, Sofia Podlusky, John Varga, Rowland W Chang, Warren A Kibbe |
| Abstract |
Translational research typically requires data abstracted from medical records as well as data collected specifically for research. Unfortunately, many data within electronic health records are represented as text that is not amenable to aggregation for analyses. We present a scalable open source SQL Server Integration Services package, called Regextractor, for including regular expression parsers into a classic extract, transform, and load workflow. We have used Regextractor to abstract discrete data from textual reports from a number of 'machine generated' sources. To validate this package, we created a pulmonary function test data mart and analyzed the quality of the data mart versus manual chart review. |
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 % |
|---|---|---|
| United States | 4 | 44% |
| United Kingdom | 2 | 22% |
| India | 2 | 22% |
| Unknown | 1 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 4 | 44% |
| Members of the public | 4 | 44% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| United States | 2 | 3% |
| Canada | 1 | 1% |
| Unknown | 68 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 19% |
| Student > Ph. D. Student | 10 | 14% |
| Student > Master | 9 | 12% |
| Student > Bachelor | 6 | 8% |
| Student > Postgraduate | 6 | 8% |
| Other | 13 | 18% |
| Unknown | 15 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 23% |
| Computer Science | 12 | 16% |
| Engineering | 5 | 7% |
| Social Sciences | 4 | 5% |
| Agricultural and Biological Sciences | 4 | 5% |
| Other | 10 | 14% |
| Unknown | 21 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 15 October 2012.
All research outputs
#6,053,255
of 23,881,329 outputs
Outputs from BMC Medical Informatics and Decision Making
#532
of 2,030 outputs
Outputs of similar age
#41,851
of 170,036 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#14
of 41 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,030 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 73% 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 170,036 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 75% of its contemporaries.
We're also able to compare this research output to 41 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 68% of its contemporaries.