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A meta-analysis of genome-wide data from five European isolates reveals an association of COL22A1, SYT1, and GABRR2with serum creatinine level

Overview of attention for article published in BMC Medical Genetics, March 2010
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1 tweeter

Citations

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37 Dimensions

Readers on

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60 Mendeley
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1 CiteULike
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Title
A meta-analysis of genome-wide data from five European isolates reveals an association of COL22A1, SYT1, and GABRR2with serum creatinine level
Published in
BMC Medical Genetics, March 2010
DOI 10.1186/1471-2350-11-41
Pubmed ID
Authors

Cristian Pattaro, Alessandro De Grandi, Veronique Vitart, Caroline Hayward, Andre Franke, Yurii S Aulchenko, Asa Johansson, Sarah H Wild, Scott A Melville, Aaron Isaacs, Ozren Polasek, David Ellinghaus, Ivana Kolcic, Ute Nöthlings, Lina Zgaga, Tatijana Zemunik, Carsten Gnewuch, Stefan Schreiber, Susan Campbell, Nick Hastie, Mladen Boban, Thomas Meitinger, Ben A Oostra, Peter Riegler, Cosetta Minelli, Alan F Wright, Harry Campbell, Cornelia M van Duijn, Ulf Gyllensten, James F Wilson, Michael Krawczak, Igor Rudan, Peter P Pramstaller

Abstract

Serum creatinine (S CR) is the most important biomarker for a quick and non-invasive assessment of kidney function in population-based surveys. A substantial proportion of the inter-individual variability in S CR level is explicable by genetic factors.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 5%
Unknown 57 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 20%
Professor 7 12%
Student > Master 7 12%
Researcher 7 12%
Professor > Associate Professor 6 10%
Other 18 30%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 35%
Medicine and Dentistry 20 33%
Computer Science 4 7%
Biochemistry, Genetics and Molecular Biology 4 7%
Engineering 2 3%
Other 3 5%
Unknown 6 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 September 2017.
All research outputs
#9,905,470
of 12,372,276 outputs
Outputs from BMC Medical Genetics
#472
of 729 outputs
Outputs of similar age
#151,951
of 222,724 outputs
Outputs of similar age from BMC Medical Genetics
#25
of 42 outputs
Altmetric has tracked 12,372,276 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 729 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.