Attention for Chapter 16:
Nuclear Cytometry: Analysis of the Patterns of DNA Synthesis and Transcription Using Flow Cytometry, Confocal Microscopy, and RNA Sequencing
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Average Attention Score compared to outputs of the same age
Good Attention Score compared to outputs of the same age and source (74th percentile)
David W. Galbraith, Elwira Sliwinska, Partha Samadder
Abstract
Eukaryotes are defined by cells that contain a nucleus and other membrane-bound organelles. Cytometric analysis in situ, utilizing imaging, provides a useful understanding of the structure and function of the various subcellular components, particularly when combined with methods that preserve the living state. In terms of information provided by the observation of eukaryotic nuclei, imaging has provided a wealth of information about cellular multiplication. When organisms are present in multicellular form (tissues and organs), this property does not generally confound imaging cytometry. Multicellular eukaryotic species present immediate problems when being considered for analysis using flow cytometry which requires suspensions of single particles. Although some eukaryotic cell types exist as natural single cell suspensions (cf. the erythropoietic system), for other tissues and organs, strategies are required to produce single particle suspensions. This chapter illustrates the application of flow cytometry combined with confocal microscopy to analyze complex organs, focusing on properties of the plant nucleus, and then goes on to describe how suspensions of nuclei can be prepared from tissues and organs, and used for flow cytometric analysis of cellular and transcriptional states. The application of these techniques to animal species is also discussed with the implication that this strategy is universally applicable for the characterization of nuclei within tissues that cannot readily be converted into suspensions of cells.
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 21 June 2018.
All research outputs
#13,721,250
of 23,263,851 outputs
Outputs from Methods in molecular biology
#3,707
of 13,319 outputs
Outputs of similar age
#221,400
of 443,685 outputs
Outputs of similar age from Methods in molecular biology
#355
of 1,501 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,319 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 70% 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 443,685 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,501 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 74% of its contemporaries.
