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Genomic Sequencing Procedure Microcosting Analysis and Health Economic Cost-Impact Analysis A Report of the Association for Molecular Pathology

Overview of attention for article published in The Journal of Molecular Diagnostics, April 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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150 Mendeley
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Article details
Title
Genomic Sequencing Procedure Microcosting Analysis and Health Economic Cost-Impact Analysis A Report of the Association for Molecular Pathology
Published in
The Journal of Molecular Diagnostics, April 2016
DOI 10.1016/j.jmoldx.2015.11.010
Pubmed ID
Authors
Abstract

The increasing use of advanced nucleic acid sequencing technologies for clinical diagnostics and therapeutics has made understanding the costs of performing these procedures and their value to patients, providers, and payers, imminent. The Association for Molecular Pathology invested in a cost and value analysis of specific genomic sequencing procedures (GSPs) newly coded by the American Medical Association Current Procedural Terminology Editorial Panel. Cost data and work effort, including the development and use of data analysis pipelines, were gathered from representative laboratories currently performing these GSPs. Results were aggregated to generate representative cost ranges given the complexity and variability of performing the tests. Cost-impact models for three clinical scenarios were generated with assistance from key opinion leaders: impact of using a targeted gene panel in optimizing care for patients with advanced non-small-cell lung cancer, use of a targeted gene panel in the diagnosis and management of patients with sensorineural hearing loss, and exome sequencing in the diagnosis and management of children with neurodevelopmental disorders of unknown genetic etiology. Each model demonstrated value by either reducing health care costs or identifying appropriate care pathways. The templates generated will aid laboratories in assessing their individual costs, considering the value structure in their own patient populations, and contributing their data to the ongoing dialogue regarding the impact of GSPs on improving patient care.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
South Africa 1 <1%
United States 1 <1%
Greece 1 <1%
Germany 1 <1%
Canada 1 <1%
Australia 1 <1%
Unknown 144 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 24 16%
Other 22 15%
Student > Ph. D. Student 16 11%
Student > Master 13 9%
Student > Doctoral Student 10 7%
Other 23 15%
Unknown 42 28%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 38 25%
Biochemistry, Genetics and Molecular Biology 24 16%
Agricultural and Biological Sciences 13 9%
Neuroscience 5 3%
Economics, Econometrics and Finance 4 3%
Other 22 15%
Unknown 44 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 October 2021.
All research outputs
#1,078,289
of 33,779,198 outputs
Outputs from The Journal of Molecular Diagnostics
#129
of 1,550 outputs
Outputs of similar age
#14,319
of 338,111 outputs
Outputs of similar age from The Journal of Molecular Diagnostics
#4
of 22 outputs
Altmetric has tracked 33,779,198 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,550 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.1. This one has done particularly well, scoring higher than 91% 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 338,111 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 95% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.