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Clinical genomics in the world of the electronic health record

Overview of attention for article published in Genetics in Medicine, July 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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11 X users
patent
1 patent

Citations

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39 Dimensions

Readers on

mendeley
97 Mendeley
Title
Clinical genomics in the world of the electronic health record
Published in
Genetics in Medicine, July 2013
DOI 10.1038/gim.2013.88
Pubmed ID
Authors

Keith Marsolo, S. Andrew Spooner

Abstract

The widespread adoption of electronic health records presents a number of benefits to the field of clinical genomics. They include the ability to return results to the practitioner, to use genetic findings in clinical decision support, and to have data collected in the electronic health record that serve as a source of phenotypic information for analysis purposes. Not all electronic health records are created equal, however. They differ in their features, capabilities, and ease of use. Therefore, to understand the potential of the electronic health record, it is first necessary to understand its capabilities and the impact that implementation strategy has on usability. Specifically, we focus on the following areas: (i) how the electronic health record is used to capture data in clinical practice settings; (ii) how the implementation and configuration of the electronic health record affect the quality and availability of data; (iii) the management of clinical genetic test results and the feasibility of electronic health record integration; and (iv) the challenges of implementing an electronic health record in a research-intensive environment. This is followed by a discussion of the minimum functional requirements that an electronic health record must meet to enable the satisfactory integration of genomic results as well as the open issues that remain.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
United Kingdom 2 2%
Portugal 1 1%
Unknown 91 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 25%
Student > Ph. D. Student 11 11%
Student > Master 8 8%
Student > Bachelor 8 8%
Student > Doctoral Student 6 6%
Other 20 21%
Unknown 20 21%
Readers by discipline Count As %
Medicine and Dentistry 21 22%
Agricultural and Biological Sciences 14 14%
Computer Science 12 12%
Engineering 6 6%
Social Sciences 5 5%
Other 16 16%
Unknown 23 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 23 May 2023.
All research outputs
#3,689,031
of 25,374,647 outputs
Outputs from Genetics in Medicine
#1,187
of 2,943 outputs
Outputs of similar age
#30,576
of 206,560 outputs
Outputs of similar age from Genetics in Medicine
#20
of 33 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,943 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has gotten more attention than average, scoring higher than 59% 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 206,560 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 85% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.