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A simple method to combine multiple molecular biomarkers for dichotomous diagnostic classification

Overview of attention for article published in BMC Bioinformatics, October 2006
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Mentioned by

patent
1 patent

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
48 Mendeley
connotea
1 Connotea
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Title
A simple method to combine multiple molecular biomarkers for dichotomous diagnostic classification
Published in
BMC Bioinformatics, October 2006
DOI 10.1186/1471-2105-7-442
Pubmed ID
Authors

Manju R Mamtani, Tushar P Thakre, Mrunal Y Kalkonde, Manik A Amin, Yogeshwar V Kalkonde, Amit P Amin, Hemant Kulkarni

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Germany 1 2%
Singapore 1 2%
Unknown 44 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 25%
Student > Ph. D. Student 9 19%
Student > Master 8 17%
Professor > Associate Professor 4 8%
Student > Doctoral Student 3 6%
Other 9 19%
Unknown 3 6%
Readers by discipline Count As %
Medicine and Dentistry 16 33%
Agricultural and Biological Sciences 8 17%
Biochemistry, Genetics and Molecular Biology 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Mathematics 3 6%
Other 10 21%
Unknown 4 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 May 2016.
All research outputs
#7,550,194
of 23,033,713 outputs
Outputs from BMC Bioinformatics
#3,042
of 7,318 outputs
Outputs of similar age
#23,353
of 66,783 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 44 outputs
Altmetric has tracked 23,033,713 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,318 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% of its peers.
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 66,783 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.