↓ Skip to main content

Statistical validation of megavariate effects in ASCA

Overview of attention for article published in BMC Bioinformatics, August 2007
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Readers on

mendeley
136 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Statistical validation of megavariate effects in ASCA
Published in
BMC Bioinformatics, August 2007
DOI 10.1186/1471-2105-8-322
Pubmed ID
Authors

Daniel J Vis, Johan A Westerhuis, Age K Smilde, Jan van der Greef

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
Netherlands 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Belgium 1 <1%
Unknown 129 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 29%
Student > Ph. D. Student 37 27%
Student > Master 10 7%
Student > Bachelor 8 6%
Student > Doctoral Student 7 5%
Other 18 13%
Unknown 17 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 25%
Chemistry 27 20%
Biochemistry, Genetics and Molecular Biology 9 7%
Computer Science 6 4%
Mathematics 6 4%
Other 24 18%
Unknown 30 22%
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 21 July 2011.
All research outputs
#7,461,241
of 22,811,321 outputs
Outputs from BMC Bioinformatics
#3,024
of 7,284 outputs
Outputs of similar age
#24,609
of 68,437 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 41 outputs
Altmetric has tracked 22,811,321 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 7,284 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 68,437 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.