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Adopting clinical genomics: a systematic review of genomic literacy among physicians in cancer care

Overview of attention for article published in BMC Medical Genomics, February 2018
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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Citations

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39 Dimensions

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81 Mendeley
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Title
Adopting clinical genomics: a systematic review of genomic literacy among physicians in cancer care
Published in
BMC Medical Genomics, February 2018
DOI 10.1186/s12920-018-0337-y
Pubmed ID
Authors

Vu T. Dung Ha, Julie Frizzo-Barker, Peter Chow-White

Abstract

This article investigates the genomic knowledge of oncology care physicians in the adoption of clinical genomics. We apply Rogers' knowledge framework from his diffusion of innovation theory to identify three types of knowledge in the process of translation and adoption: awareness, how-to, and principles knowledge. The objectives of this systematic review are to: (1) examine the level of knowledge among physicians in clinical cancer genomics, and (2) identify potential interventions or strategies for development of genomic education for oncology practice. We follow the PRIMSA statement protocol and conduct a search of five relevant electronic databases. Our review focuses on: (1) genomic knowledge of oncogenomics or genomic services in oncology practices among physicians, and (2) interventions or strategies to provide genomic education of oncogenomics for physicians. We include twenty-one studies in our analysis. Nine focus on interventions to provide genomic education for cancer care. Overall, physicians' knowledge of oncogenomics among the three types is limited. The genomic literacy of physicians vary by their provider specialty, location, years of practice, and the type of genomic services. The three distinctions of knowledge offer a sophisticated and helpful tool to design effective strategies and interventions to provide genomic education for cancer treatment. In the nine educational intervention studies, the main intervention outcomes are changes in awareness, referral rates, genomic confidence, and genomic knowledge. Rogers' diffusion of innovation model allows us to differentiate three types of knowledge in the development and adoption of clinical genomics. This analytical lens can inform potential avenues to design more effective strategies and interventions to provide genomic education for oncology practice. We identified and synthesized a dearth of high quality studies that can inform the most effective educational outcomes of these interventions. Future research should attend to improving applications of genomic services in clinical practices, along with organizational change engendered by genomics in oncology practice.

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X Demographics

The data shown below were collected from the profiles of 6 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 15%
Student > Master 11 14%
Student > Bachelor 8 10%
Student > Doctoral Student 5 6%
Student > Ph. D. Student 4 5%
Other 11 14%
Unknown 30 37%
Readers by discipline Count As %
Medicine and Dentistry 15 19%
Biochemistry, Genetics and Molecular Biology 5 6%
Psychology 5 6%
Social Sciences 5 6%
Computer Science 4 5%
Other 14 17%
Unknown 33 41%
Attention Score in Context

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 01 June 2019.
All research outputs
#6,306,805
of 23,023,224 outputs
Outputs from BMC Medical Genomics
#280
of 1,233 outputs
Outputs of similar age
#132,737
of 446,078 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 17 outputs
Altmetric has tracked 23,023,224 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 1,233 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 77% 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 446,078 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 70% of its contemporaries.
We're also able to compare this research output to 17 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 64% of its contemporaries.