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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
  • Among the highest-scoring outputs from this source (#29 of 474)
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
twitter
3 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
184 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.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 184 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 182 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 22%
Researcher 37 20%
Student > Master 24 13%
Student > Bachelor 21 11%
Student > Doctoral Student 13 7%
Other 24 13%
Unknown 24 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 63 34%
Agricultural and Biological Sciences 33 18%
Medicine and Dentistry 13 7%
Engineering 11 6%
Immunology and Microbiology 8 4%
Other 26 14%
Unknown 30 16%

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
#1,043,687
of 9,763,361 outputs
Outputs from Journal of Hematology & Oncology
#29
of 474 outputs
Outputs of similar age
#49,558
of 317,492 outputs
Outputs of similar age from Journal of Hematology & Oncology
#1
of 29 outputs
Altmetric has tracked 9,763,361 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 474 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 93% 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 317,492 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 29 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 96% of its contemporaries.