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Integration of Genomic Medicine into Pathology Residency Training The Stanford Open Curriculum

Overview of attention for article published in The Journal of Molecular Diagnostics, January 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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
34 Mendeley
citeulike
1 CiteULike
Title
Integration of Genomic Medicine into Pathology Residency Training The Stanford Open Curriculum
Published in
The Journal of Molecular Diagnostics, January 2013
DOI 10.1016/j.jmoldx.2012.11.003
Pubmed ID
Authors

Iris Schrijver, Yasodha Natkunam, Stephen Galli, Scott D. Boyd

Abstract

Next-generation sequencing methods provide an opportunity for molecular pathology laboratories to perform genomic testing that is far more comprehensive than single-gene analyses. Genome-based test results are expected to develop into an integral component of diagnostic clinical medicine and to provide the basis for individually tailored health care. To achieve these goals, rigorous interpretation of high-quality data must be informed by the medical history and the phenotype of the patient. The discipline of pathology is well positioned to implement genome-based testing and to interpret its results, but new knowledge and skills must be included in the training of pathologists to develop expertise in this area. Pathology residents should be trained in emerging technologies to integrate genomic test results appropriately with more traditional testing, to accelerate clinical studies using genomic data, and to help develop appropriate standards of data quality and evidence-based interpretation of these test results. We have created a genomic pathology curriculum as a first step in helping pathology residents build a foundation for the understanding of genomic medicine and its implications for clinical practice. This curriculum is freely accessible online.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Other 5 15%
Researcher 4 12%
Student > Master 4 12%
Student > Ph. D. Student 3 9%
Student > Bachelor 3 9%
Other 6 18%
Unknown 9 26%
Readers by discipline Count As %
Medicine and Dentistry 13 38%
Agricultural and Biological Sciences 4 12%
Nursing and Health Professions 2 6%
Social Sciences 2 6%
Environmental Science 1 3%
Other 1 3%
Unknown 11 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 15 March 2016.
All research outputs
#2,706,828
of 25,374,917 outputs
Outputs from The Journal of Molecular Diagnostics
#221
of 1,306 outputs
Outputs of similar age
#26,214
of 290,228 outputs
Outputs of similar age from The Journal of Molecular Diagnostics
#2
of 15 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,306 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has done well, scoring higher than 83% 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 290,228 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 90% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.