↓ Skip to main content

CONAN: copy number variation analysis software for genome-wide association studies

Overview of attention for article published in BMC Bioinformatics, June 2010
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
97 Mendeley
citeulike
6 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
CONAN: copy number variation analysis software for genome-wide association studies
Published in
BMC Bioinformatics, June 2010
DOI 10.1186/1471-2105-11-318
Pubmed ID
Authors

Lukas Forer, Sebastian Schönherr, Hansi Weissensteiner, Florian Haider, Thomas Kluckner, Christian Gieger, Heinz-Erich Wichmann, Günther Specht, Florian Kronenberg, Anita Kloss-Brandstätter

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 3 3%
Brazil 2 2%
Netherlands 1 1%
Chile 1 1%
Germany 1 1%
South Africa 1 1%
United Kingdom 1 1%
Iceland 1 1%
Unknown 86 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 27%
Student > Ph. D. Student 16 16%
Student > Master 11 11%
Professor > Associate Professor 10 10%
Student > Bachelor 8 8%
Other 23 24%
Unknown 3 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 56%
Biochemistry, Genetics and Molecular Biology 12 12%
Medicine and Dentistry 12 12%
Computer Science 8 8%
Mathematics 3 3%
Other 5 5%
Unknown 3 3%

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 13 September 2019.
All research outputs
#9,613,006
of 15,839,793 outputs
Outputs from BMC Bioinformatics
#3,730
of 5,719 outputs
Outputs of similar age
#147,554
of 266,809 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 15,839,793 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,719 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 34th percentile – i.e., 34% 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 266,809 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them