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Informatics and data quality at collaborative multicenter Breast and Colon Cancer Family Registries

Overview of attention for article published in Journal of the American Medical Informatics Association, February 2012
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2 X users

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42 Mendeley
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Title
Informatics and data quality at collaborative multicenter Breast and Colon Cancer Family Registries
Published in
Journal of the American Medical Informatics Association, February 2012
DOI 10.1136/amiajnl-2011-000546
Pubmed ID
Authors

Peter B McGarvey, Sweta Ladwa, Mauricio Oberti, Anca Dana Dragomir, Erin K Hedlund, David Michael Tanenbaum, Baris E Suzek, Subha Madhavan

Abstract

Quality control and harmonization of data is a vital and challenging undertaking for any successful data coordination center and a responsibility shared between the multiple sites that produce, integrate, and utilize the data. Here we describe a coordinated effort between scientists and data managers in the Cancer Family Registries to implement a data governance infrastructure consisting of both organizational and technical solutions. The technical solution uses a rule-based validation system that facilitates error detection and correction for data centers submitting data to a central informatics database. Validation rules comprise both standard checks on allowable values and a crosscheck of related database elements for logical and scientific consistency. Evaluation over a 2-year timeframe showed a significant decrease in the number of errors in the database and a concurrent increase in data consistency and accuracy.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Spain 1 2%
Unknown 40 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 19%
Student > Ph. D. Student 7 17%
Student > Master 6 14%
Student > Doctoral Student 2 5%
Unspecified 2 5%
Other 8 19%
Unknown 9 21%
Readers by discipline Count As %
Medicine and Dentistry 11 26%
Computer Science 5 12%
Social Sciences 5 12%
Agricultural and Biological Sciences 4 10%
Business, Management and Accounting 2 5%
Other 7 17%
Unknown 8 19%
Attention Score in Context

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 20 February 2012.
All research outputs
#15,169,543
of 25,374,647 outputs
Outputs from Journal of the American Medical Informatics Association
#2,524
of 3,301 outputs
Outputs of similar age
#156,580
of 254,241 outputs
Outputs of similar age from Journal of the American Medical Informatics Association
#39
of 59 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,301 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one is in the 21st percentile – i.e., 21% 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 254,241 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.