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Attention Score in Context
Title |
Molecular signatures for obesity and associated disorders identified through partial least square regression models
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Published in |
BMC Systems Biology, August 2014
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DOI | 10.1186/s12918-014-0104-4 |
Pubmed ID | |
Authors |
Neeraj Sinha, Sachin Sharma, Parul Tripathi, Simarjeet Kaur Negi, Kamiya Tikoo, Dhiraj Kumar, Kanury VS Rao, Samrat Chatterjee |
Abstract |
Obesity is now a worldwide epidemic disease and poses a major risk for diet related diseases like type 2 diabetes, cardiovascular disease, stroke and fatty liver among others. In the present study we employed the murine model of diet-induced obesity to determine the early, tissue-specific, gene expression signatures that characterized progression to obesity and type 2 diabetes. |
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 % |
---|---|---|
Unknown | 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 21% |
Student > Bachelor | 6 | 21% |
Researcher | 3 | 10% |
Other | 2 | 7% |
Student > Doctoral Student | 1 | 3% |
Other | 1 | 3% |
Unknown | 10 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 6 | 21% |
Agricultural and Biological Sciences | 4 | 14% |
Nursing and Health Professions | 3 | 10% |
Medicine and Dentistry | 3 | 10% |
Sports and Recreations | 1 | 3% |
Other | 1 | 3% |
Unknown | 11 | 38% |
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 12 September 2014.
All research outputs
#18,378,085
of 22,763,032 outputs
Outputs from BMC Systems Biology
#834
of 1,142 outputs
Outputs of similar age
#168,157
of 236,045 outputs
Outputs of similar age from BMC Systems Biology
#18
of 24 outputs
Altmetric has tracked 22,763,032 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 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 11th percentile – i.e., 11% 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 236,045 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 24 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.