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Histotype-specific copy-number alterations in ovarian cancer

Overview of attention for article published in BMC Medical Genomics, October 2012
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2 X users

Citations

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41 Dimensions

Readers on

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48 Mendeley
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2 CiteULike
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Title
Histotype-specific copy-number alterations in ovarian cancer
Published in
BMC Medical Genomics, October 2012
DOI 10.1186/1755-8794-5-47
Authors

Ruby YunJu Huang, Geng Bo Chen, Noriomi Matsumura, Hung-Cheng Lai, Seiichi Mori, Jingjing Li, Meng Kang Wong, Ikuo Konishi, Jean-Paul Thiery, Liang Goh

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 %
Netherlands 1 2%
Germany 1 2%
Unknown 46 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 23%
Student > Ph. D. Student 8 17%
Student > Master 6 13%
Student > Bachelor 5 10%
Professor > Associate Professor 3 6%
Other 7 15%
Unknown 8 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 29%
Medicine and Dentistry 10 21%
Biochemistry, Genetics and Molecular Biology 9 19%
Engineering 3 6%
Computer Science 2 4%
Other 1 2%
Unknown 9 19%
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 October 2012.
All research outputs
#15,253,344
of 22,681,577 outputs
Outputs from BMC Medical Genomics
#672
of 1,213 outputs
Outputs of similar age
#110,268
of 175,904 outputs
Outputs of similar age from BMC Medical Genomics
#11
of 15 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 35th percentile – i.e., 35% 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 175,904 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.