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Measuring Survival of Hematopoietic Cancer Cells with the Colony-Forming Assay in Soft Agar.

Overview of attention for article published in Cold Spring Harbor Protocols, August 2016
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Title
Measuring Survival of Hematopoietic Cancer Cells with the Colony-Forming Assay in Soft Agar.
Published in
Cold Spring Harbor Protocols, August 2016
DOI 10.1101/pdb.prot087189
Pubmed ID
Authors

Lisa C Crowley, Nigel J Waterhouse

Abstract

Colony-forming assays measure the ability of cells in culture to grow and divide into groups. Any cell that has the potential to form a colony may also have the potential to cause cancer or relapse in vivo. Colony-forming assays also provide an indirect measurement of cell death because any cell that is dead or dying will not continue to proliferate. The proliferative capacity of adherent cells such as fibroblasts can be determined by growing cells at low density on culture dishes and counting the number of distinct groups that form over time. Cells that grow in suspension, such as hematopoietic cells, cannot be assayed this way because the cells move freely in the media. Assays to determine the colony-forming ability of hematopoietic cells must therefore be performed in solid matrices that restrict large-scale movement of the cells. One such matrix is soft agar. This protocol describes the use of soft agar to compare the colony-forming ability of untreated hematopoietic cells to the colony-forming ability of hematopoietic cells that have been treated with a cytotoxic agent.

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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 25%
Student > Ph. D. Student 3 19%
Student > Bachelor 2 13%
Researcher 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 5 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 25%
Agricultural and Biological Sciences 3 19%
Medicine and Dentistry 2 13%
Immunology and Microbiology 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Other 0 0%
Unknown 5 31%
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 03 August 2016.
All research outputs
#18,466,751
of 22,881,964 outputs
Outputs from Cold Spring Harbor Protocols
#622
of 971 outputs
Outputs of similar age
#283,272
of 366,376 outputs
Outputs of similar age from Cold Spring Harbor Protocols
#26
of 43 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 971 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 20th percentile – i.e., 20% 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 366,376 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.