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Singapore Cancer Network (SCAN) Guidelines for Referral for Genetic Evaluation of Common Hereditary Cancer Syndromes.

Overview of attention for article published in Annals of the Academy of Medicine Singapore, October 2015
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Title
Singapore Cancer Network (SCAN) Guidelines for Referral for Genetic Evaluation of Common Hereditary Cancer Syndromes.
Published in
Annals of the Academy of Medicine Singapore, October 2015
Pubmed ID
Abstract

The SCAN cancer genetics workgroup aimed to develop Singapore Cancer Network (SCAN) clinical practice guidelines for referral for genetic evaluation of common hereditary cancer syndromes. The workgroup utilised a modified ADAPTE process to calibrate high quality international evidence-based clinical practice guidelines to our local setting. To formulate referral guidelines for the 3 most commonly encountered hereditary cancer syndromes to guide healthcare providers in Singapore who care for cancer patients and/or their family members, 7, 5, and 3 sets of international guidelines respectively for hereditary breast and ovarian cancer (HBOC) syndrome, Lynch syndrome (LS), and familial adenomatous polyposis (FAP) were evaluated. For each syndrome, the most applicable one was selected, with modifications made such that they would be appropriate to the local context. These adapted guidelines form the SCAN Guidelines 2015 for referral for genetic evaluation of common hereditary cancer syndromes.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Other 5 18%
Student > Master 5 18%
Researcher 4 14%
Student > Ph. D. Student 3 11%
Professor 1 4%
Other 4 14%
Unknown 6 21%
Readers by discipline Count As %
Medicine and Dentistry 9 32%
Biochemistry, Genetics and Molecular Biology 6 21%
Immunology and Microbiology 2 7%
Nursing and Health Professions 1 4%
Economics, Econometrics and Finance 1 4%
Other 3 11%
Unknown 6 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 January 2016.
All research outputs
#5,213,112
of 6,977,329 outputs
Outputs from Annals of the Academy of Medicine Singapore
#92
of 171 outputs
Outputs of similar age
#209,752
of 306,138 outputs
Outputs of similar age from Annals of the Academy of Medicine Singapore
#1
of 4 outputs
Altmetric has tracked 6,977,329 research outputs across all sources so far. This one is in the 14th percentile – i.e., 14% of other outputs scored the same or lower than it.
So far Altmetric has tracked 171 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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