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Pseudoachondroplasia and multiple epiphyseal dysplasia: A 7‐year comprehensive analysis of the known disease genes identify novel and recurrent mutations and provides an accurate assessment of their…

Overview of attention for article published in Human Mutation, October 2011
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4 Wikipedia pages

Citations

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107 Dimensions

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89 Mendeley
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Title
Pseudoachondroplasia and multiple epiphyseal dysplasia: A 7‐year comprehensive analysis of the known disease genes identify novel and recurrent mutations and provides an accurate assessment of their relative contribution
Published in
Human Mutation, October 2011
DOI 10.1002/humu.21611
Pubmed ID
Authors

Gail C. Jackson, Laureane Mittaz‐Crettol, Jacqueline A. Taylor, Geert R. Mortier, Juergen Spranger, Bernhard Zabel, Martine Le Merrer, Valerie Cormier‐Daire, Christine M. Hall, Amaka Offiah, Michael J. Wright, Ravi Savarirayan, Gen Nishimura, Simon C. Ramsden, Rob Elles, Luisa Bonafe, Andrea Superti‐Furga, Sheila Unger, Andreas Zankl, Michael D. Briggs

Abstract

Pseudoachondroplasia (PSACH) and multiple epiphyseal dysplasia (MED) are relatively common skeletal dysplasias resulting in short-limbed dwarfism, joint pain, and stiffness. PSACH and the largest proportion of autosomal dominant MED (AD-MED) results from mutations in cartilage oligomeric matrix protein (COMP); however, AD-MED is genetically heterogenous and can also result from mutations in matrilin-3 (MATN3) and type IX collagen (COL9A1, COL9A2, and COL9A3). In contrast, autosomal recessive MED (rMED) appears to result exclusively from mutations in sulphate transporter solute carrier family 26 (SLC26A2). The diagnosis of PSACH and MED can be difficult for the nonexpert due to various complications and similarities with other related diseases and often mutation analysis is requested to either confirm or exclude the diagnosis. Since 2003, the European Skeletal Dysplasia Network (ESDN) has used an on-line review system to efficiently diagnose cases referred to the network prior to mutation analysis. In this study, we present the molecular findings in 130 patients referred to ESDN, which includes the identification of novel and recurrent mutations in over 100 patients. Furthermore, this study provides the first indication of the relative contribution of each gene and confirms that they account for the majority of PSACH and MED.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 88 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 17%
Other 12 13%
Student > Master 11 12%
Researcher 10 11%
Student > Bachelor 5 6%
Other 15 17%
Unknown 21 24%
Readers by discipline Count As %
Medicine and Dentistry 21 24%
Agricultural and Biological Sciences 16 18%
Biochemistry, Genetics and Molecular Biology 13 15%
Immunology and Microbiology 3 3%
Nursing and Health Professions 2 2%
Other 5 6%
Unknown 29 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 November 2023.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from Human Mutation
#1,197
of 3,101 outputs
Outputs of similar age
#54,980
of 157,264 outputs
Outputs of similar age from Human Mutation
#17
of 53 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,101 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 157,264 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.