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A hybrid blob-slice model for accurate and efficient detection of fluorescence labeled nuclei in 3D

Overview of attention for article published in BMC Bioinformatics, January 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
72 Dimensions

Readers on

mendeley
82 Mendeley
citeulike
1 CiteULike
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Title
A hybrid blob-slice model for accurate and efficient detection of fluorescence labeled nuclei in 3D
Published in
BMC Bioinformatics, January 2010
DOI 10.1186/1471-2105-11-580
Pubmed ID
Authors

Anthony Santella, Zhuo Du, Sonja Nowotschin, Anna-Katerina Hadjantonakis, Zhirong Bao

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 4%
Japan 3 4%
United States 2 2%
Brazil 2 2%
Switzerland 1 1%
Portugal 1 1%
Unknown 70 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 28%
Student > Ph. D. Student 20 24%
Student > Master 9 11%
Professor > Associate Professor 7 9%
Student > Doctoral Student 4 5%
Other 16 20%
Unknown 3 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 41%
Biochemistry, Genetics and Molecular Biology 11 13%
Computer Science 11 13%
Engineering 7 9%
Neuroscience 4 5%
Other 10 12%
Unknown 5 6%

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 13 January 2016.
All research outputs
#2,518,837
of 9,440,187 outputs
Outputs from BMC Bioinformatics
#1,529
of 3,989 outputs
Outputs of similar age
#33,719
of 99,843 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 40 outputs
Altmetric has tracked 9,440,187 research outputs across all sources so far. This one has received more attention than most of these and is in the 58th percentile.
So far Altmetric has tracked 3,989 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 54% 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 99,843 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 40 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 62% of its contemporaries.