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Studying hematopoiesis using single-cell technologies

Overview of attention for article published in Journal of Hematology & Oncology, January 2017
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
twitter
3 X users
facebook
1 Facebook page

Citations

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41 Dimensions

Readers on

mendeley
193 Mendeley
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Title
Studying hematopoiesis using single-cell technologies
Published in
Journal of Hematology & Oncology, January 2017
DOI 10.1186/s13045-017-0401-7
Pubmed ID
Authors

Fang Ye, Wentao Huang, Guoji Guo

Abstract

Hematopoiesis is probably the best-understood stem cell differentiation system; hematopoietic stem cell (HSC) transplantation represents the most widely used regenerative therapy. The classical view of lineage hierarchy in hematopoiesis is built on cell type definition system by a group of cell surface markers. However, the traditional model is facing increasing challenges, as many classical cell types are proved to be heterogeneous. Recently, the developments of new technologies allow genome, transcriptome, proteome, and epigenome analysis at the single-cell level. For the first time, we can study hematopoietic system at single-cell resolution on a multi-omic scale. Here, we review recent technical advances in single-cell analysis technology, as well as their current applications. We will also discuss the impact of single-cell technologies on both basic research and clinical application in hematology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Unknown 191 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 22%
Researcher 38 20%
Student > Master 25 13%
Student > Bachelor 21 11%
Student > Doctoral Student 14 7%
Other 21 11%
Unknown 31 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 64 33%
Agricultural and Biological Sciences 33 17%
Medicine and Dentistry 14 7%
Engineering 11 6%
Immunology and Microbiology 9 5%
Other 24 12%
Unknown 38 20%
Attention Score in Context

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 03 May 2017.
All research outputs
#2,960,738
of 22,947,506 outputs
Outputs from Journal of Hematology & Oncology
#218
of 1,194 outputs
Outputs of similar age
#63,118
of 418,332 outputs
Outputs of similar age from Journal of Hematology & Oncology
#5
of 43 outputs
Altmetric has tracked 22,947,506 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 1,194 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has done well, scoring higher than 80% 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 418,332 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 84% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.