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Attention Score in Context
Title |
Combined analysis of genome-wide expression and copy number profiles to identify key altered genomic regions in cancer
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Published in |
BMC Genomics, October 2012
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DOI | 10.1186/1471-2164-13-s5-s5 |
Pubmed ID | |
Authors |
Celia Fontanillo, Sara Aibar, Jose Manuel Sanchez-Santos, Javier De Las Rivas |
Abstract |
Analysis of DNA copy number alterations and gene expression changes in human samples have been used to find potential target genes in complex diseases. Recent studies have combined these two types of data using different strategies, but focusing on finding gene-based relationships. However, it has been proposed that these data can be used to identify key genomic regions, which may enclose causal genes under the assumption that disease-associated gene expression changes are caused by genomic alterations. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 4% |
Unknown | 26 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 30% |
Researcher | 4 | 15% |
Student > Bachelor | 3 | 11% |
Student > Doctoral Student | 2 | 7% |
Other | 2 | 7% |
Other | 6 | 22% |
Unknown | 2 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 44% |
Biochemistry, Genetics and Molecular Biology | 4 | 15% |
Computer Science | 3 | 11% |
Engineering | 3 | 11% |
Medicine and Dentistry | 2 | 7% |
Other | 0 | 0% |
Unknown | 3 | 11% |
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 19 October 2012.
All research outputs
#18,317,537
of 22,681,577 outputs
Outputs from BMC Genomics
#8,142
of 10,613 outputs
Outputs of similar age
#133,454
of 176,091 outputs
Outputs of similar age from BMC Genomics
#105
of 137 outputs
Altmetric has tracked 22,681,577 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 10,613 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 176,091 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 137 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.