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Statistical Inference Methods for Sparse Biological Time Series Data

Overview of attention for article published in BMC Systems Biology, April 2011
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

q&a
1 Q&A thread

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
74 Mendeley
citeulike
1 CiteULike
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Title
Statistical Inference Methods for Sparse Biological Time Series Data
Published in
BMC Systems Biology, April 2011
DOI 10.1186/1752-0509-5-57
Pubmed ID
Authors

Juliet Ndukum, Luís L Fonseca, Helena Santos, Eberhard O Voit, Susmita Datta

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Canada 2 3%
France 1 1%
Portugal 1 1%
Germany 1 1%
Italy 1 1%
Unknown 65 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 26%
Researcher 17 23%
Student > Master 7 9%
Professor > Associate Professor 6 8%
Other 6 8%
Other 13 18%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 35%
Computer Science 11 15%
Biochemistry, Genetics and Molecular Biology 4 5%
Engineering 4 5%
Physics and Astronomy 4 5%
Other 16 22%
Unknown 9 12%
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 25 March 2017.
All research outputs
#12,948,055
of 22,852,911 outputs
Outputs from BMC Systems Biology
#431
of 1,142 outputs
Outputs of similar age
#78,616
of 109,955 outputs
Outputs of similar age from BMC Systems Biology
#8
of 14 outputs
Altmetric has tracked 22,852,911 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 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 60% 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 109,955 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.