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Genetic heterogeneity in Cornelia de Lange syndrome (CdLS) and CdLS-like phenotypes with observed and predicted levels of mosaicism

Overview of attention for article published in Journal of Medical Genetics, August 2014
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3 X users
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1 Facebook page
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2 Wikipedia pages

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199 Mendeley
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Title
Genetic heterogeneity in Cornelia de Lange syndrome (CdLS) and CdLS-like phenotypes with observed and predicted levels of mosaicism
Published in
Journal of Medical Genetics, August 2014
DOI 10.1136/jmedgenet-2014-102573
Pubmed ID
Authors

Morad Ansari, Gemma Poke, Quentin Ferry, Kathleen Williamson, Roland Aldridge, Alison M Meynert, Hemant Bengani, Cheng Yee Chan, Hülya Kayserili, Şahin Avci, Raoul C M Hennekam, Anne K Lampe, Egbert Redeker, Tessa Homfray, Alison Ross, Marie Falkenberg Smeland, Sahar Mansour, Michael J Parker, Jacqueline A Cook, Miranda Splitt, Richard B Fisher, Alan Fryer, Alex C Magee, Andrew Wilkie, Angela Barnicoat, Angela F Brady, Nicola S Cooper, Catherine Mercer, Charu Deshpande, Christopher P Bennett, Daniela T Pilz, Deborah Ruddy, Deirdre Cilliers, Diana S Johnson, Dragana Josifova, Elisabeth Rosser, Elizabeth M Thompson, Emma Wakeling, Esther Kinning, Fiona Stewart, Frances Flinter, Katta M Girisha, Helen Cox, Helen V Firth, Helen Kingston, Jamie S Wee, Jane A Hurst, Jill Clayton-Smith, John Tolmie, Julie Vogt, Katrina Tatton–Brown, Kate Chandler, Katrina Prescott, Louise Wilson, Mahdiyeh Behnam, Meriel McEntagart, Rosemarie Davidson, Sally-Ann Lynch, Sanjay Sisodiya, Sarju G Mehta, Shane A McKee, Shehla Mohammed, Simon Holden, Soo-Mi Park, Susan E Holder, Victoria Harrison, Vivienne McConnell, Wayne K Lam, Andrew J Green, Dian Donnai, Maria Bitner-Glindzicz, Deirdre E Donnelly, Christoffer Nellåker, Martin S Taylor, David R FitzPatrick

Abstract

Cornelia de Lange syndrome (CdLS) is a multisystem disorder with distinctive facial appearance, intellectual disability and growth failure as prominent features. Most individuals with typical CdLS have de novo heterozygous loss-of-function mutations in NIPBL with mosaic individuals representing a significant proportion. Mutations in other cohesin components, SMC1A, SMC3, HDAC8 and RAD21 cause less typical CdLS.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Unknown 197 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 17%
Researcher 29 15%
Student > Bachelor 24 12%
Unspecified 18 9%
Other 15 8%
Other 44 22%
Unknown 36 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 54 27%
Medicine and Dentistry 45 23%
Agricultural and Biological Sciences 28 14%
Unspecified 18 9%
Neuroscience 7 4%
Other 11 6%
Unknown 36 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 21 October 2023.
All research outputs
#7,155,664
of 26,017,215 outputs
Outputs from Journal of Medical Genetics
#1,479
of 3,243 outputs
Outputs of similar age
#63,374
of 247,210 outputs
Outputs of similar age from Journal of Medical Genetics
#12
of 23 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,243 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 52% 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 247,210 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.