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Integrative analysis of neuroblastoma and pheochromocytoma genomics data

Overview of attention for article published in BMC Medical Genomics, October 2012
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Title
Integrative analysis of neuroblastoma and pheochromocytoma genomics data
Published in
BMC Medical Genomics, October 2012
DOI 10.1186/1755-8794-5-48
Pubmed ID
Authors

Peter M Szabó, Miklós Pintér, Diana Rita Szabó, Adrienn Zsippai, Attila Patócs, András Falus, Károly Rácz, Peter Igaz

Abstract

Pheochromocytoma and neuroblastoma are the most common neural crest-derived tumors in adults and children, respectively. We have performed a large-scale in silico analysis of altogether 1784 neuroblastoma and 531 pheochromocytoma samples to establish similarities and differences using analysis of mRNA and microRNA expression, chromosome aberrations and a novel bioinformatics analysis based on cooperative game theory.

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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Kazakhstan 1 2%
Czechia 1 2%
Unknown 40 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 16%
Researcher 5 12%
Student > Bachelor 5 12%
Student > Ph. D. Student 5 12%
Professor 3 7%
Other 9 21%
Unknown 9 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 23%
Medicine and Dentistry 9 21%
Agricultural and Biological Sciences 7 16%
Neuroscience 2 5%
Immunology and Microbiology 2 5%
Other 4 9%
Unknown 9 21%
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 23 February 2013.
All research outputs
#17,670,096
of 22,684,168 outputs
Outputs from BMC Medical Genomics
#787
of 1,213 outputs
Outputs of similar age
#134,553
of 183,629 outputs
Outputs of similar age from BMC Medical Genomics
#15
of 18 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,213 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 29th percentile – i.e., 29% 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 183,629 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.