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Evaluation of normalization methods for two-channel microRNA microarrays

Overview of attention for article published in Journal of Translational Medicine, July 2010
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Mentioned by

patent
1 patent

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
42 Mendeley
citeulike
2 CiteULike
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Title
Evaluation of normalization methods for two-channel microRNA microarrays
Published in
Journal of Translational Medicine, July 2010
DOI 10.1186/1479-5876-8-69
Pubmed ID
Authors

Yingdong Zhao, Ena Wang, Hui Liu, Melissa Rotunno, Jill Koshiol, Francesco M Marincola, Maria Teresa Landi, Lisa M McShane

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Canada 1 2%
Unknown 40 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 45%
Student > Bachelor 4 10%
Student > Ph. D. Student 4 10%
Student > Master 3 7%
Professor > Associate Professor 2 5%
Other 4 10%
Unknown 6 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 48%
Biochemistry, Genetics and Molecular Biology 5 12%
Medicine and Dentistry 4 10%
Mathematics 1 2%
Immunology and Microbiology 1 2%
Other 3 7%
Unknown 8 19%
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 06 January 2016.
All research outputs
#7,536,586
of 22,994,508 outputs
Outputs from Journal of Translational Medicine
#1,248
of 4,019 outputs
Outputs of similar age
#33,993
of 95,214 outputs
Outputs of similar age from Journal of Translational Medicine
#6
of 13 outputs
Altmetric has tracked 22,994,508 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 4,019 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 64% 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 95,214 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 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.