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Clinical genetics evaluation in identifying the etiology of autism spectrum disorders: 2013 guideline revisions

Overview of attention for article published in Genetics in Medicine, March 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
1 news outlet
policy
2 policy sources
twitter
42 X users
facebook
2 Facebook pages
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
413 Dimensions

Readers on

mendeley
468 Mendeley
citeulike
1 CiteULike
Title
Clinical genetics evaluation in identifying the etiology of autism spectrum disorders: 2013 guideline revisions
Published in
Genetics in Medicine, March 2013
DOI 10.1038/gim.2013.32
Pubmed ID
Authors

G. Bradley Schaefer, Nancy J. Mendelsohn

Abstract

The autism spectrum disorders are a collective of conditions that have in common impaired socialization and communication in association with stereotypic behaviors. The reported incidence of autism spectrum disorders has increased dramatically over the past two decades. In addition, increased attention has been paid to these conditions by both lay and professional groups. These trends have resulted in an increase in the number of referrals to clinical geneticist for the evaluation of persons with autism spectrum disorders. The primary roles of the geneticist in this process are to define etiology when possible, to provide genetic counseling, and to contribute to case management. In deciding on the appropriate evaluation for a particular patient, the geneticist will consider a host of factors: (i) ensuring an accurate diagnosis of autism before proceeding with any investigation; (ii) discussing testing options, diagnostic yields, and family investment before proceeding with an evaluation; (iii) communicating and coordinating with the patient-centered medical home (PCMH); (iv) assessing the continuously expanding and evolving list of available laboratory-testing modalities in light of the published literature; (v) recognizing the expanded phenotypes of well-described syndromic and metabolic conditions that overlap with autism spectrum disorders; and (vi) defining an individualized evaluation plan based on the unique history and clinical features of a given patient. The guidelines in this paper have been developed to assist the clinician in the consideration of these factors. It updates the original publication from 2008.Genet Med 2013:15(5):399-407.

X Demographics

X Demographics

The data shown below were collected from the profiles of 42 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 468 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Brazil 2 <1%
United Kingdom 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 460 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 70 15%
Researcher 62 13%
Other 46 10%
Student > Ph. D. Student 39 8%
Student > Bachelor 36 8%
Other 96 21%
Unknown 119 25%
Readers by discipline Count As %
Medicine and Dentistry 132 28%
Biochemistry, Genetics and Molecular Biology 60 13%
Agricultural and Biological Sciences 43 9%
Psychology 37 8%
Neuroscience 19 4%
Other 51 11%
Unknown 126 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 45. 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 17 December 2023.
All research outputs
#926,389
of 25,371,288 outputs
Outputs from Genetics in Medicine
#264
of 2,943 outputs
Outputs of similar age
#6,563
of 210,394 outputs
Outputs of similar age from Genetics in Medicine
#4
of 37 outputs
Altmetric has tracked 25,371,288 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 2,943 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. 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 210,394 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 96% 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 well, scoring higher than 89% of its contemporaries.