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Candidate gene association study in pediatric acute lymphoblastic leukemia evaluated by Bayesian network based Bayesian multilevel analysis of relevance

Overview of attention for article published in BMC Medical Genomics, September 2012
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Title
Candidate gene association study in pediatric acute lymphoblastic leukemia evaluated by Bayesian network based Bayesian multilevel analysis of relevance
Published in
BMC Medical Genomics, September 2012
DOI 10.1186/1755-8794-5-42
Pubmed ID
Authors

Orsolya Lautner-Csorba, András Gézsi, Ágnes F Semsei, Péter Antal, Dániel J Erdélyi, Géza Schermann, Nóra Kutszegi, Katalin Csordás, Márta Hegyi, Gábor Kovács, András Falus, Csaba Szalai

Abstract

We carried out a candidate gene association study in pediatric acute lymphoblastic leukemia (ALL) to identify possible genetic risk factors in a Hungarian population.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Colombia 1 2%
Unknown 46 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 35%
Researcher 6 12%
Student > Bachelor 6 12%
Student > Master 5 10%
Other 4 8%
Other 5 10%
Unknown 6 12%
Readers by discipline Count As %
Medicine and Dentistry 13 27%
Biochemistry, Genetics and Molecular Biology 11 22%
Agricultural and Biological Sciences 10 20%
Computer Science 3 6%
Mathematics 2 4%
Other 4 8%
Unknown 6 12%
Attention Score in Context

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 01 October 2012.
All research outputs
#18,316,001
of 22,679,690 outputs
Outputs from BMC Medical Genomics
#856
of 1,212 outputs
Outputs of similar age
#130,758
of 172,156 outputs
Outputs of similar age from BMC Medical Genomics
#11
of 11 outputs
Altmetric has tracked 22,679,690 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 1,212 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 18th percentile – i.e., 18% 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 172,156 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.