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Identifying Discrete States of a Biological System Using a Novel Step Detection Algorithm

Overview of attention for article published in PLOS ONE, November 2012
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Mentioned by

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1 X user

Citations

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14 Dimensions

Readers on

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40 Mendeley
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Title
Identifying Discrete States of a Biological System Using a Novel Step Detection Algorithm
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0045896
Pubmed ID
Authors

Jan Opfer, Kay-Eberhard Gottschalk

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 5%
France 1 3%
Unknown 37 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Researcher 7 18%
Student > Bachelor 5 13%
Student > Doctoral Student 5 13%
Professor 2 5%
Other 6 15%
Unknown 6 15%
Readers by discipline Count As %
Physics and Astronomy 16 40%
Agricultural and Biological Sciences 9 23%
Biochemistry, Genetics and Molecular Biology 6 15%
Engineering 2 5%
Veterinary Science and Veterinary Medicine 1 3%
Other 0 0%
Unknown 6 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 November 2015.
All research outputs
#20,296,405
of 22,833,393 outputs
Outputs from PLOS ONE
#173,970
of 194,870 outputs
Outputs of similar age
#163,239
of 183,702 outputs
Outputs of similar age from PLOS ONE
#4,141
of 4,905 outputs
Altmetric has tracked 22,833,393 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,870 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 183,702 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,905 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.