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Analysis of multiple phenotypes in genome-wide genetic mapping studies

Overview of attention for article published in BMC Bioinformatics, May 2013
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
70 Mendeley
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Title
Analysis of multiple phenotypes in genome-wide genetic mapping studies
Published in
BMC Bioinformatics, May 2013
DOI 10.1186/1471-2105-14-151
Pubmed ID
Authors

Chen Suo, Timothea Toulopoulou, Elvira Bramon, Muriel Walshe, Marco Picchioni, Robin Murray, Jurg Ott

Abstract

Complex traits may be defined by a range of different criteria. It would result in a loss of information to perform analyses simply on the basis of a final clinical dichotomized affected / unaffected variable.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 7%
Germany 2 3%
United Kingdom 1 1%
Spain 1 1%
Switzerland 1 1%
Luxembourg 1 1%
Unknown 59 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 33%
Researcher 21 30%
Professor 4 6%
Student > Bachelor 4 6%
Student > Master 4 6%
Other 12 17%
Unknown 2 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 51%
Biochemistry, Genetics and Molecular Biology 10 14%
Computer Science 6 9%
Medicine and Dentistry 5 7%
Psychology 4 6%
Other 5 7%
Unknown 4 6%

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 May 2013.
All research outputs
#10,522,477
of 17,897,867 outputs
Outputs from BMC Bioinformatics
#3,743
of 6,314 outputs
Outputs of similar age
#83,446
of 164,183 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 21 outputs
Altmetric has tracked 17,897,867 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,314 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 37th percentile – i.e., 37% 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 164,183 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 21 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.