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Cross-pollination of research findings, although uncommon, may accelerate discovery of human disease genes

Overview of attention for article published in BMC Medical Genetics, November 2012
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1 tweeter

Citations

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2 Dimensions

Readers on

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9 Mendeley
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1 CiteULike
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Title
Cross-pollination of research findings, although uncommon, may accelerate discovery of human disease genes
Published in
BMC Medical Genetics, November 2012
DOI 10.1186/1471-2350-13-114
Pubmed ID
Authors

Marlena Duda, Tristan Nelson, Dennis P Wall

Abstract

Technological leaps in genome sequencing have resulted in a surge in discovery of human disease genes. These discoveries have led to increased clarity on the molecular pathology of disease and have also demonstrated considerable overlap in the genetic roots of human diseases. In light of this large genetic overlap, we tested whether cross-disease research approaches lead to faster, more impactful discoveries.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Student > Master 2 22%
Student > Doctoral Student 1 11%
Student > Ph. D. Student 1 11%
Professor > Associate Professor 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Medicine and Dentistry 2 22%
Agricultural and Biological Sciences 2 22%
Social Sciences 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Unknown 3 33%

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 April 2013.
All research outputs
#9,905,470
of 12,372,276 outputs
Outputs from BMC Medical Genetics
#472
of 729 outputs
Outputs of similar age
#100,064
of 144,130 outputs
Outputs of similar age from BMC Medical Genetics
#6
of 7 outputs
Altmetric has tracked 12,372,276 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 729 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 19th percentile – i.e., 19% 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 144,130 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.