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The IGNITE network: a model for genomic medicine implementation and research

Overview of attention for article published in BMC Medical Genomics, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#45 of 2,444)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
1 blog
twitter
33 X users
facebook
1 Facebook page

Citations

dimensions_citation
189 Dimensions

Readers on

mendeley
207 Mendeley
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Title
The IGNITE network: a model for genomic medicine implementation and research
Published in
BMC Medical Genomics, January 2016
DOI 10.1186/s12920-015-0162-5
Pubmed ID
Authors

Kristin Wiisanen Weitzel, Madeline Alexander, Barbara A. Bernhardt, Neil Calman, David J. Carey, Larisa H. Cavallari, Julie R. Field, Diane Hauser, Heather A. Junkins, Phillip A. Levin, Kenneth Levy, Ebony B. Madden, Teri A. Manolio, Jacqueline Odgis, Lori A. Orlando, Reed Pyeritz, R. Ryanne Wu, Alan R. Shuldiner, Erwin P. Bottinger, Joshua C. Denny, Paul R. Dexter, David A. Flockhart, Carol R. Horowitz, Julie A. Johnson, Stephen E. Kimmel, Mia A. Levy, Toni I. Pollin, Geoffrey S. Ginsburg, on behalf of the IGNITE Network

Abstract

Patients, clinicians, researchers and payers are seeking to understand the value of using genomic information (as reflected by genotyping, sequencing, family history or other data) to inform clinical decision-making. However, challenges exist to widespread clinical implementation of genomic medicine, a prerequisite for developing evidence of its real-world utility. To address these challenges, the National Institutes of Health-funded IGNITE (Implementing GeNomics In pracTicE; www.ignite-genomics.org ) Network, comprised of six projects and a coordinating center, was established in 2013 to support the development, investigation and dissemination of genomic medicine practice models that seamlessly integrate genomic data into the electronic health record and that deploy tools for point of care decision making. IGNITE site projects are aligned in their purpose of testing these models, but individual projects vary in scope and design, including exploring genetic markers for disease risk prediction and prevention, developing tools for using family history data, incorporating pharmacogenomic data into clinical care, refining disease diagnosis using sequence-based mutation discovery, and creating novel educational approaches. This paper describes the IGNITE Network and member projects, including network structure, collaborative initiatives, clinical decision support strategies, methods for return of genomic test results, and educational initiatives for patients and providers. Clinical and outcomes data from individual sites and network-wide projects are anticipated to begin being published over the next few years. The IGNITE Network is an innovative series of projects and pilot demonstrations aiming to enhance translation of validated actionable genomic information into clinical settings and develop and use measures of outcome in response to genome-based clinical interventions using a pragmatic framework to provide early data and proofs of concept on the utility of these interventions. Through these efforts and collaboration with other stakeholders, IGNITE is poised to have a significant impact on the acceleration of genomic information into medical practice.

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 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 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Unknown 205 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 17%
Student > Ph. D. Student 26 13%
Student > Master 22 11%
Other 19 9%
Student > Bachelor 14 7%
Other 41 20%
Unknown 50 24%
Readers by discipline Count As %
Medicine and Dentistry 38 18%
Biochemistry, Genetics and Molecular Biology 30 14%
Agricultural and Biological Sciences 16 8%
Pharmacology, Toxicology and Pharmaceutical Science 15 7%
Social Sciences 13 6%
Other 41 20%
Unknown 54 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 25 May 2017.
All research outputs
#1,389,114
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#45
of 2,444 outputs
Outputs of similar age
#23,667
of 400,004 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 37 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 98% 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 400,004 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.