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Single-cell mass cytometry adapted to measurements of the cell cycle

Overview of attention for article published in Cytometry Part A, June 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
2 tweeters
patent
2 patents
wikipedia
2 Wikipedia pages

Citations

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167 Dimensions

Readers on

mendeley
273 Mendeley
citeulike
1 CiteULike
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Title
Single-cell mass cytometry adapted to measurements of the cell cycle
Published in
Cytometry Part A, June 2012
DOI 10.1002/cyto.a.22075
Pubmed ID
Authors

Gregory K. Behbehani, Sean C. Bendall, Matthew R. Clutter, Wendy J. Fantl, Garry P. Nolan

Abstract

Mass cytometry is a recently introduced technology that utilizes transition element isotope-tagged antibodies for protein detection on a single-cell basis. By circumventing the limitations of emission spectral overlap associated with fluorochromes utilized in traditional flow cytometry, mass cytometry currently allows measurement of up to 40 parameters per cell. Recently, a comprehensive mass cytometry analysis was described for the hematopoietic differentiation program in human bone marrow from a healthy donor. The current study describes approaches to delineate cell cycle stages utilizing 5-iodo-2-deoxyuridine (IdU) to mark cells in S phase, simultaneously with antibodies against cyclin B1, cyclin A, and phosphorylated histone H3 (S28) that characterize the other cell cycle phases. Protocols were developed in which an antibody against phosphorylated retinoblastoma protein (Rb) at serines 807 and 811 was used to separate cells in G0 and G1 phases of the cell cycle. This mass cytometry method yielded cell cycle distributions of both normal and cancer cell populations that were equivalent to those obtained by traditional fluorescence cytometry techniques. We applied this to map the cell cycle phases of cells spanning the hematopoietic hierarchy in healthy human bone marrow as a prelude to later studies with cancers and other disorders of this lineage.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 273 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 <1%
United States 2 <1%
Italy 1 <1%
Korea, Republic of 1 <1%
United Kingdom 1 <1%
Czechia 1 <1%
Unknown 265 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 27%
Researcher 70 26%
Student > Master 30 11%
Student > Bachelor 15 5%
Student > Postgraduate 14 5%
Other 43 16%
Unknown 28 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 96 35%
Biochemistry, Genetics and Molecular Biology 44 16%
Medicine and Dentistry 30 11%
Immunology and Microbiology 29 11%
Chemistry 16 6%
Other 27 10%
Unknown 31 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 24 June 2021.
All research outputs
#2,712,716
of 21,406,274 outputs
Outputs from Cytometry Part A
#106
of 1,245 outputs
Outputs of similar age
#22,964
of 175,770 outputs
Outputs of similar age from Cytometry Part A
#1
of 18 outputs
Altmetric has tracked 21,406,274 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,245 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 90% 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 175,770 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 18 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 99% of its contemporaries.