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Single Cell RNA Sequencing of Rare Immune Cell Populations

Overview of attention for article published in Frontiers in immunology, July 2018
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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1 news outlet
blogs
1 blog
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27 X users
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1 research highlight platform

Citations

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98 Dimensions

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261 Mendeley
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Title
Single Cell RNA Sequencing of Rare Immune Cell Populations
Published in
Frontiers in immunology, July 2018
DOI 10.3389/fimmu.2018.01553
Pubmed ID
Authors

Akira Nguyen, Weng Hua Khoo, Imogen Moran, Peter I. Croucher, Tri Giang Phan

Abstract

Single-cell RNA sequencing (scRNA-Seq) is transforming our ability to characterize cells, particularly rare cells that are often overlooked in bulk population analytical approaches. This has lead to the discovery of new cell types and cellular states that echo the underlying heterogeneity and plasticity in the immune system. Technologies for the capture, sequencing, and bioinformatic analysis of single cells are rapidly improving, and scRNA-Seq is now becoming much more accessible to non-specialized laboratories. Here, we describe our experiences in adopting scRNA-Seq to the study of rare immune cells in their microanatomical niches.

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 261 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 261 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 18%
Researcher 45 17%
Student > Master 41 16%
Student > Bachelor 25 10%
Other 12 5%
Other 26 10%
Unknown 66 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 68 26%
Agricultural and Biological Sciences 31 12%
Immunology and Microbiology 29 11%
Medicine and Dentistry 21 8%
Engineering 11 4%
Other 25 10%
Unknown 76 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 02 March 2023.
All research outputs
#1,280,594
of 25,515,042 outputs
Outputs from Frontiers in immunology
#1,108
of 31,871 outputs
Outputs of similar age
#26,897
of 341,671 outputs
Outputs of similar age from Frontiers in immunology
#40
of 734 outputs
Altmetric has tracked 25,515,042 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,871 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done particularly well, scoring higher than 96% 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 341,671 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 92% of its contemporaries.
We're also able to compare this research output to 734 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 94% of its contemporaries.