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The role of height-associated loci identified in genome wide association studies in the determination of pediatric stature

Overview of attention for article published in BMC Medical Genomics, June 2010
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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 (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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1 patent
wikipedia
6 Wikipedia pages

Citations

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53 Dimensions

Readers on

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64 Mendeley
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Title
The role of height-associated loci identified in genome wide association studies in the determination of pediatric stature
Published in
BMC Medical Genomics, June 2010
DOI 10.1186/1471-2350-11-96
Pubmed ID
Authors

Jianhua Zhao, Mingyao Li, Jonathan P Bradfield, Haitao Zhang, Frank D Mentch, Kai Wang, Patrick M Sleiman, Cecilia E Kim, Joseph T Glessner, Cuiping Hou, Brendan J Keating, Kelly A Thomas, Maria L Garris, Sandra Deliard, Edward C Frackelton, F George Otieno, Rosetta M Chiavacci, Robert I Berkowitz, Hakon Hakonarson, Struan FA Grant

Abstract

Human height is considered highly heritable and correlated with certain disorders, such as type 2 diabetes and cancer. Despite environmental influences, genetic factors are known to play an important role in stature determination. A number of genetic determinants of adult height have already been established through genome wide association studies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
United Kingdom 1 2%
France 1 2%
Unknown 60 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Researcher 15 23%
Student > Bachelor 8 13%
Student > Master 5 8%
Other 4 6%
Other 11 17%
Unknown 5 8%
Readers by discipline Count As %
Medicine and Dentistry 19 30%
Agricultural and Biological Sciences 17 27%
Biochemistry, Genetics and Molecular Biology 11 17%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Immunology and Microbiology 1 2%
Other 6 9%
Unknown 9 14%
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 26 October 2021.
All research outputs
#5,446,210
of 25,373,627 outputs
Outputs from BMC Medical Genomics
#375
of 2,444 outputs
Outputs of similar age
#22,269
of 104,221 outputs
Outputs of similar age from BMC Medical Genomics
#7
of 19 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 83% 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 104,221 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 72% of its contemporaries.
We're also able to compare this research output to 19 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 63% of its contemporaries.