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CellProfiler: image analysis software for identifying and quantifying cell phenotypes

Overview of attention for article published in Genome Biology, October 2006
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
4 blogs
twitter
2 X users
patent
26 patents
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
4311 Dimensions

Readers on

mendeley
3087 Mendeley
citeulike
13 CiteULike
connotea
6 Connotea
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Title
CellProfiler: image analysis software for identifying and quantifying cell phenotypes
Published in
Genome Biology, October 2006
DOI 10.1186/gb-2006-7-10-r100
Pubmed ID
Authors

Anne E Carpenter, Thouis R Jones, Michael R Lamprecht, Colin Clarke, In Han Kang, Ola Friman, David A Guertin, Joo Han Chang, Robert A Lindquist, Jason Moffat, Polina Golland, David M Sabatini

Abstract

Biologists can now prepare and image thousands of samples per day using automation, enabling chemical screens and functional genomics (for example, using RNA interference). Here we describe the first free, open-source system designed for flexible, high-throughput cell image analysis, CellProfiler. CellProfiler can address a variety of biological questions quantitatively, including standard assays (for example, cell count, size, per-cell protein levels) and complex morphological assays (for example, cell/organelle shape or subcellular patterns of DNA or protein staining).

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 3,087 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 46 1%
Germany 18 <1%
United Kingdom 16 <1%
France 8 <1%
Spain 7 <1%
Netherlands 6 <1%
Portugal 5 <1%
Canada 5 <1%
Brazil 4 <1%
Other 38 1%
Unknown 2934 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 804 26%
Researcher 581 19%
Student > Master 384 12%
Student > Bachelor 278 9%
Student > Doctoral Student 168 5%
Other 406 13%
Unknown 466 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 901 29%
Biochemistry, Genetics and Molecular Biology 611 20%
Engineering 249 8%
Medicine and Dentistry 162 5%
Computer Science 160 5%
Other 446 14%
Unknown 558 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 31 October 2023.
All research outputs
#1,113,591
of 25,374,917 outputs
Outputs from Genome Biology
#817
of 4,467 outputs
Outputs of similar age
#1,892
of 88,706 outputs
Outputs of similar age from Genome Biology
#2
of 22 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 81% 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 88,706 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.