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Multiplexed, targeted profiling of single-cell proteomes and transcriptomes in a single reaction

Overview of attention for article published in Genome Biology (Online Edition), September 2016
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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 (90th percentile)

Mentioned by

news
1 news outlet
twitter
9 tweeters
patent
3 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
106 Dimensions

Readers on

mendeley
279 Mendeley
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Title
Multiplexed, targeted profiling of single-cell proteomes and transcriptomes in a single reaction
Published in
Genome Biology (Online Edition), September 2016
DOI 10.1186/s13059-016-1045-6
Pubmed ID
Authors

Alex S Genshaft, Shuqiang Li, Caroline J. Gallant, Spyros Darmanis, Sanjay M. Prakadan, Carly G. K. Ziegler, Martin Lundberg, Simon Fredriksson, Joyce Hong, Aviv Regev, Kenneth J. Livak, Ulf Landegren, Alex K. Shalek

Abstract

We present a scalable, integrated strategy for coupled protein and RNA detection from single cells. Our approach leverages the DNA polymerase activity of reverse transcriptase to simultaneously perform proximity extension assays and complementary DNA synthesis in the same reaction. Using the Fluidigm C1™ system, we profile the transcriptomic and proteomic response of a human breast adenocarcinoma cell line to a chemical perturbation, benchmarking against in situ hybridizations and immunofluorescence staining, as well as recombinant proteins, ERCC Spike-Ins, and population lysate dilutions. Through supervised and unsupervised analyses, we demonstrate synergies enabled by simultaneous measurement of single-cell protein and RNA abundances. Collectively, our generalizable approach highlights the potential for molecular metadata to inform highly-multiplexed single-cell analyses.

Twitter Demographics

The data shown below were collected from the profiles of 9 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 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Canada 2 <1%
Denmark 2 <1%
Sweden 1 <1%
Germany 1 <1%
Unknown 269 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 77 28%
Researcher 48 17%
Student > Bachelor 28 10%
Student > Master 20 7%
Other 17 6%
Other 47 17%
Unknown 42 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 82 29%
Agricultural and Biological Sciences 56 20%
Engineering 20 7%
Medicine and Dentistry 14 5%
Chemistry 13 5%
Other 45 16%
Unknown 49 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 27 October 2021.
All research outputs
#1,434,849
of 20,952,692 outputs
Outputs from Genome Biology (Online Edition)
#1,352
of 3,994 outputs
Outputs of similar age
#28,514
of 290,272 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 20,952,692 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,994 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one has gotten more attention than average, scoring higher than 66% 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 290,272 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 1 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