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Noonan syndrome in diverse populations

Overview of attention for article published in American Journal of Medical Genetics. Part A, July 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 4,215)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
48 news outlets
twitter
7 X users
facebook
3 Facebook pages

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
115 Mendeley
Title
Noonan syndrome in diverse populations
Published in
American Journal of Medical Genetics. Part A, July 2017
DOI 10.1002/ajmg.a.38362
Pubmed ID
Authors

Paul Kruszka, Antonio R. Porras, Yonit A. Addissie, Angélica Moresco, Sofia Medrano, Gary T. K. Mok, Gordon K. C. Leung, Cedrik Tekendo‐Ngongang, Annette Uwineza, Meow‐Keong Thong, Premala Muthukumarasamy, Engela Honey, Ekanem N. Ekure, Ogochukwu J. Sokunbi, Nnenna Kalu, Kelly L. Jones, Julie D. Kaplan, Omar A. Abdul‐Rahman, Lisa M. Vincent, Amber Love, Khadija Belhassan, Karim Ouldim, Ihssane El Bouchikhi, Anju Shukla, Katta M. Girisha, Siddaramappa J. Patil, Nirmala D. Sirisena, Vajira H. W. Dissanayake, C. Sampath Paththinige, Rupesh Mishra, Eva Klein‐Zighelboim, Bertha E. Gallardo Jugo, Miguel Chávez Pastor, Hugo H. Abarca‐Barriga, Steven A. Skinner, Eloise J. Prijoles, Eben Badoe, Ashleigh D. Gill, Vorasuk Shotelersuk, Patroula Smpokou, Monisha S. Kisling, Carlos R. Ferreira, Leon Mutesa, Andre Megarbane, Antonie D. Kline, Amy Kimball, Emmy Okello, Peter Lwabi, Twalib Aliku, Emmanuel Tenywa, Nonglak Boonchooduang, Pranoot Tanpaiboon, Antonio Richieri‐Costa, Ambroise Wonkam, Brian H. Y. Chung, Roger E. Stevenson, Marshall Summar, Kausik Mandal, Shubha R. Phadke, María G. Obregon, Marius G. Linguraru, Maximilian Muenke

Abstract

Noonan syndrome (NS) is a common genetic syndrome associated with gain of function variants in genes in the Ras/MAPK pathway. The phenotype of NS has been well characterized in populations of European descent with less attention given to other groups. In this study, individuals from diverse populations with NS were evaluated clinically and by facial analysis technology. Clinical data and images from 125 individuals with NS were obtained from 20 countries with an average age of 8 years and female composition of 46%. Individuals were grouped into categories of African descent (African), Asian, Latin American, and additional/other. Across these different population groups, NS was phenotypically similar with only 2 of 21 clinical elements showing a statistically significant difference. The most common clinical characteristics found in all population groups included widely spaced eyes and low-set ears in 80% or greater of participants, short stature in more than 70%, and pulmonary stenosis in roughly half of study individuals. Using facial analysis technology, we compared 161 Caucasian, African, Asian, and Latin American individuals with NS with 161 gender and age matched controls and found that sensitivity was equal to or greater than 94% for all groups, and specificity was equal to or greater than 90%. In summary, we present consistent clinical findings from global populations with NS and additionally demonstrate how facial analysis technology can support clinicians in making accurate NS diagnoses. This work will assist in earlier detection and in increasing recognition of NS throughout the world.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 115 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 14%
Student > Bachelor 13 11%
Student > Master 12 10%
Other 9 8%
Professor 6 5%
Other 23 20%
Unknown 36 31%
Readers by discipline Count As %
Medicine and Dentistry 35 30%
Biochemistry, Genetics and Molecular Biology 17 15%
Nursing and Health Professions 8 7%
Unspecified 4 3%
Engineering 3 3%
Other 9 8%
Unknown 39 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 387. 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 18 March 2022.
All research outputs
#79,603
of 25,461,852 outputs
Outputs from American Journal of Medical Genetics. Part A
#5
of 4,215 outputs
Outputs of similar age
#1,806
of 327,447 outputs
Outputs of similar age from American Journal of Medical Genetics. Part A
#1
of 74 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,215 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 99% 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 327,447 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 99% of its contemporaries.
We're also able to compare this research output to 74 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 98% of its contemporaries.