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A network model of genomic hormone interactions underlying dementia and its translational validation through serendipitous off-target effect

Overview of attention for article published in Journal of Translational Medicine, January 2013
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1 tweeter

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27 Mendeley
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Title
A network model of genomic hormone interactions underlying dementia and its translational validation through serendipitous off-target effect
Published in
Journal of Translational Medicine, January 2013
DOI 10.1186/1479-5876-11-177
Pubmed ID
Authors

Erfan Younesi, Martin Hofmann-Apitius

Abstract

While the majority of studies have focused on the association between sex hormones and dementia, emerging evidence supports the role of other hormone signals in increasing dementia risk. However, due to the lack of an integrated view on mechanistic interactions of hormone signaling pathways associated with dementia, molecular mechanisms through which hormones contribute to the increased risk of dementia has remained unclear and capacity of translating hormone signals to potential therapeutic and diagnostic applications in relation to dementia has been undervalued.

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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Luxembourg 1 4%
Australia 1 4%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 26%
Student > Master 6 22%
Researcher 4 15%
Other 3 11%
Student > Bachelor 2 7%
Other 3 11%
Unknown 2 7%
Readers by discipline Count As %
Medicine and Dentistry 7 26%
Psychology 5 19%
Agricultural and Biological Sciences 4 15%
Biochemistry, Genetics and Molecular Biology 3 11%
Computer Science 2 7%
Other 2 7%
Unknown 4 15%

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 26 July 2013.
All research outputs
#2,903,255
of 3,628,563 outputs
Outputs from Journal of Translational Medicine
#671
of 1,024 outputs
Outputs of similar age
#68,369
of 85,647 outputs
Outputs of similar age from Journal of Translational Medicine
#20
of 24 outputs
Altmetric has tracked 3,628,563 research outputs across all sources so far. This one is in the 2nd percentile – i.e., 2% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,024 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 1st percentile – i.e., 1% 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 85,647 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.