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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 (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
2 tweeters
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
104 Dimensions

Readers on

mendeley
221 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 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 3 1%
United States 2 <1%
Italy 1 <1%
United Kingdom 1 <1%
Korea, Republic of 1 <1%
Czechia 1 <1%
Unknown 212 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 29%
Researcher 62 28%
Student > Master 25 11%
Professor > Associate Professor 12 5%
Unspecified 11 5%
Other 47 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 95 43%
Biochemistry, Genetics and Molecular Biology 32 14%
Medicine and Dentistry 25 11%
Immunology and Microbiology 23 10%
Unspecified 15 7%
Other 31 14%

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
#3,050,547
of 12,518,030 outputs
Outputs from Cytometry Part A
#233
of 829 outputs
Outputs of similar age
#34,172
of 147,549 outputs
Outputs of similar age from Cytometry Part A
#2
of 7 outputs
Altmetric has tracked 12,518,030 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 829 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 71% 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 147,549 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 76% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.