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Key regulators in prostate cancer identified by co-expression module analysis

Overview of attention for article published in BMC Genomics, November 2014
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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5 X users

Citations

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25 Dimensions

Readers on

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38 Mendeley
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Title
Key regulators in prostate cancer identified by co-expression module analysis
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-1015
Pubmed ID
Authors

Junfeng Jiang, Peilin Jia, Zhongming Zhao, Bairong Shen

Abstract

Prostate cancer (PrCa) is the most commonly diagnosed cancer in men in the world. Despite the fact that a large number of its genes have been investigated, its etiology remains poorly understood. Furthermore, most PrCa candidate genes have not been rigorously replicated, and the methods by which they biologically function in PrCa remain largely unknown.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
India 1 3%
Denmark 1 3%
Unknown 35 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 32%
Student > Bachelor 4 11%
Student > Master 4 11%
Researcher 4 11%
Other 3 8%
Other 6 16%
Unknown 5 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 37%
Computer Science 6 16%
Biochemistry, Genetics and Molecular Biology 4 11%
Medicine and Dentistry 4 11%
Engineering 3 8%
Other 1 3%
Unknown 6 16%
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 22 January 2015.
All research outputs
#14,419,194
of 24,220,739 outputs
Outputs from BMC Genomics
#5,249
of 10,923 outputs
Outputs of similar age
#187,812
of 370,996 outputs
Outputs of similar age from BMC Genomics
#103
of 247 outputs
Altmetric has tracked 24,220,739 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,923 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 49th percentile – i.e., 49% 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 370,996 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.