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Implementation of the CDC translational informatics platform - from genetic variants to the national Swedish Rheumatology Quality Register

Overview of attention for article published in Journal of Translational Medicine, April 2013
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Title
Implementation of the CDC translational informatics platform - from genetic variants to the national Swedish Rheumatology Quality Register
Published in
Journal of Translational Medicine, April 2013
DOI 10.1186/1479-5876-11-85
Pubmed ID
Authors

Imad Abugessaisa, David Gomez-Cabrero, Omri Snir, Staffan Lindblad, Lars Klareskog, Vivianne Malmström, Jesper Tegnér

Abstract

Sequencing of the human genome and the subsequent analyses have produced immense volumes of data. The technological advances have opened new windows into genomics beyond the DNA sequence. In parallel, clinical practice generate large amounts of data. This represents an underused data source that has much greater potential in translational research than is currently realized. This research aims at implementing a translational medicine informatics platform to integrate clinical data (disease diagnosis, diseases activity and treatment) of Rheumatoid Arthritis (RA) patients from Karolinska University Hospital and their research database (biobanks, genotype variants and serology) at the Center for Molecular Medicine, Karolinska Institutet.

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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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 1%
United States 1 1%
Netherlands 1 1%
China 1 1%
Unknown 87 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 15%
Researcher 13 14%
Student > Master 11 12%
Other 9 10%
Student > Bachelor 7 8%
Other 22 24%
Unknown 15 16%
Readers by discipline Count As %
Medicine and Dentistry 18 20%
Computer Science 17 19%
Social Sciences 11 12%
Agricultural and Biological Sciences 6 7%
Nursing and Health Professions 4 4%
Other 17 19%
Unknown 18 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 April 2013.
All research outputs
#15,267,294
of 22,703,044 outputs
Outputs from Journal of Translational Medicine
#2,228
of 3,970 outputs
Outputs of similar age
#124,932
of 199,767 outputs
Outputs of similar age from Journal of Translational Medicine
#37
of 53 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,970 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 31st percentile – i.e., 31% 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 199,767 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.