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Bayesian Analysis of iTRAQ Data with Nonrandom Missingness: Identification of Differentially Expressed Proteins

Overview of attention for article published in Statistics in Biosciences, October 2009
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Mentioned by

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1 Q&A thread

Citations

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20 Dimensions

Readers on

mendeley
33 Mendeley
Title
Bayesian Analysis of iTRAQ Data with Nonrandom Missingness: Identification of Differentially Expressed Proteins
Published in
Statistics in Biosciences, October 2009
DOI 10.1007/s12561-009-9013-2
Pubmed ID
Authors

Ruiyan Luo, Christopher M. Colangelo, William C. Sessa, Hongyu Zhao

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 30%
Researcher 4 12%
Student > Master 4 12%
Student > Doctoral Student 3 9%
Other 3 9%
Other 5 15%
Unknown 4 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 21%
Agricultural and Biological Sciences 6 18%
Computer Science 6 18%
Mathematics 3 9%
Chemistry 2 6%
Other 3 9%
Unknown 6 18%
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 29 November 2015.
All research outputs
#12,967,131
of 22,890,496 outputs
Outputs from Statistics in Biosciences
#25
of 69 outputs
Outputs of similar age
#74,808
of 93,780 outputs
Outputs of similar age from Statistics in Biosciences
#1
of 1 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 69 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 62% 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 93,780 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them