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Mendeley readers
Attention Score in Context
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, July 2013
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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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Luxembourg | 1 | 3% |
Australia | 1 | 3% |
Unknown | 36 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 16% |
Student > Master | 5 | 13% |
Other | 4 | 11% |
Researcher | 4 | 11% |
Student > Bachelor | 4 | 11% |
Other | 5 | 13% |
Unknown | 10 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 18% |
Agricultural and Biological Sciences | 5 | 13% |
Biochemistry, Genetics and Molecular Biology | 4 | 11% |
Psychology | 4 | 11% |
Computer Science | 2 | 5% |
Other | 3 | 8% |
Unknown | 13 | 34% |
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
#22,756,649
of 25,371,288 outputs
Outputs from Journal of Translational Medicine
#3,880
of 4,634 outputs
Outputs of similar age
#186,966
of 209,852 outputs
Outputs of similar age from Journal of Translational Medicine
#30
of 34 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,634 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. 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 209,852 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 34 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.