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Meta-analysis of differentially expressed genes in osteosarcoma based on gene expression data

Overview of attention for article published in BMC Medical Genomics, July 2014
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Mentioned by

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3 X users

Citations

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58 Dimensions

Readers on

mendeley
48 Mendeley
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1 CiteULike
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Title
Meta-analysis of differentially expressed genes in osteosarcoma based on gene expression data
Published in
BMC Medical Genomics, July 2014
DOI 10.1186/1471-2350-15-80
Pubmed ID
Authors

Zuozhang Yang, Yongbin Chen, Yu Fu, Yihao Yang, Ya Zhang, Yanjin Chen, Dongqi Li

Abstract

To uncover the genes involved in the development of osteosarcoma (OS), we performed a meta-analysis of OS microarray data to identify differentially expressed genes (DEGs) and biological functions associated with gene expression changes between OS and normal control (NC) tissues.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 2%
Malaysia 1 2%
Canada 1 2%
Denmark 1 2%
United States 1 2%
Unknown 43 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Student > Master 10 21%
Researcher 5 10%
Student > Postgraduate 5 10%
Professor 4 8%
Other 8 17%
Unknown 6 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 29%
Medicine and Dentistry 12 25%
Agricultural and Biological Sciences 9 19%
Computer Science 3 6%
Immunology and Microbiology 1 2%
Other 1 2%
Unknown 8 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 2014.
All research outputs
#16,721,208
of 25,373,627 outputs
Outputs from BMC Medical Genomics
#1,194
of 2,444 outputs
Outputs of similar age
#138,170
of 241,471 outputs
Outputs of similar age from BMC Medical Genomics
#20
of 33 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 46th percentile – i.e., 46% 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 241,471 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.