↓ Skip to main content

A continuous-time adaptive particle filter for estimations under measurement time uncertainties with an application to a plasma-leucine mixed effects model

Overview of attention for article published in BMC Systems Biology, January 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
23 Mendeley
citeulike
1 CiteULike
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
A continuous-time adaptive particle filter for estimations under measurement time uncertainties with an application to a plasma-leucine mixed effects model
Published in
BMC Systems Biology, January 2013
DOI 10.1186/1752-0509-7-8
Pubmed ID
Authors

Annette Krengel, Jan Hauth, Marja-Riitta Taskinen, Martin Adiels, Mats Jirstrand

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 22%
Researcher 5 22%
Student > Ph. D. Student 4 17%
Student > Bachelor 2 9%
Librarian 1 4%
Other 2 9%
Unknown 4 17%
Readers by discipline Count As %
Computer Science 6 26%
Mathematics 4 17%
Physics and Astronomy 2 9%
Engineering 2 9%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 5 22%
Unknown 3 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 January 2013.
All research outputs
#14,160,293
of 22,693,205 outputs
Outputs from BMC Systems Biology
#544
of 1,142 outputs
Outputs of similar age
#169,929
of 285,214 outputs
Outputs of similar age from BMC Systems Biology
#24
of 56 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% 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 is in the 47th percentile – i.e., 47% 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 285,214 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.