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Molecular analysis of congenital scoliosis: a candidate gene approach

Overview of attention for article published in Human Genetics, February 2005
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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1 patent
wikipedia
2 Wikipedia pages

Citations

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49 Dimensions

Readers on

mendeley
33 Mendeley
Title
Molecular analysis of congenital scoliosis: a candidate gene approach
Published in
Human Genetics, February 2005
DOI 10.1007/s00439-005-1253-8
Pubmed ID
Authors

Melissa K. Maisenbacher, Ji-Soo Han, Megan L. O’Brien, Michael R. Tracy, Bülent Erol, Alyssa A. Schaffer, John P. Dormans, Elaine H. Zackai, Kenro Kusumi

Abstract

The etiology of congenital scoliosis is largely unknown. The severe vertebral disorder, spondylocostal dysostosis type 1, is associated with a homozygous delta-like 3 (DLL3) mutation. Scoliosis has been observed in a heterozygous DLL3 carrier, raising the possibility of its involvement in congenital scoliosis. We present the first molecular study of congenital scoliosis by analysis of the candidate gene DLL3 and demonstrate one novel missense variant. However, no novel or previously described mutations are present in our cohort, indicating that DLL3 mutations may not be a major cause of congenital scoliosis. Additionally, we have evaluated patients with congenital scoliosis not diagnosed with a known syndrome and identified a significant number of associated renal and cardiac anomalies and familial incidence of idiopathic scoliosis in this group.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 5 15%
Student > Bachelor 5 15%
Other 4 12%
Professor > Associate Professor 4 12%
Researcher 3 9%
Other 9 27%
Unknown 3 9%
Readers by discipline Count As %
Medicine and Dentistry 18 55%
Agricultural and Biological Sciences 6 18%
Biochemistry, Genetics and Molecular Biology 3 9%
Social Sciences 1 3%
Decision Sciences 1 3%
Other 0 0%
Unknown 4 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 14 July 2018.
All research outputs
#4,696,560
of 22,789,076 outputs
Outputs from Human Genetics
#467
of 2,953 outputs
Outputs of similar age
#10,341
of 58,933 outputs
Outputs of similar age from Human Genetics
#4
of 16 outputs
Altmetric has tracked 22,789,076 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,953 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 76% 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 58,933 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 71% of its contemporaries.
We're also able to compare this research output to 16 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 68% of its contemporaries.