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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
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
2 tweeters
wikipedia
2 Wikipedia pages

Readers on

mendeley
191 Mendeley
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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

Behbehani GK, Bendall SC, Clutter MR, Fantl WJ, Nolan GP, Behbehani, Gregory K., Bendall, Sean C., Clutter, Matthew R., Fantl, Wendy J., Nolan, Garry P.

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

Geographical breakdown

Country Count As %
Switzerland 3 2%
United States 2 1%
Germany 1 <1%
United Kingdom 1 <1%
Italy 1 <1%
Korea, Republic of 1 <1%
Czech Republic 1 <1%
Unknown 181 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 60 31%
Researcher 57 30%
Student > Master 22 12%
Professor > Associate Professor 11 6%
Student > Bachelor 8 4%
Other 33 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 98 51%
Biochemistry, Genetics and Molecular Biology 23 12%
Medicine and Dentistry 20 10%
Immunology and Microbiology 17 9%
Engineering 12 6%
Other 21 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 February 2017.
All research outputs
#1,967,821
of 9,059,586 outputs
Outputs from Cytometry Part A
#115
of 498 outputs
Outputs of similar age
#27,213
of 124,588 outputs
Outputs of similar age from Cytometry Part A
#1
of 6 outputs
Altmetric has tracked 9,059,586 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 498 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 76% 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 124,588 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 77% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them