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Heterogeneity of CD34 and CD38 expression in acute B lymphoblastic leukemia cells is reversible and not hierarchically organized

Overview of attention for article published in Journal of Hematology & Oncology, September 2016
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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 (#11 of 397)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
15 Mendeley
citeulike
2 CiteULike
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Title
Heterogeneity of CD34 and CD38 expression in acute B lymphoblastic leukemia cells is reversible and not hierarchically organized
Published in
Journal of Hematology & Oncology, September 2016
DOI 10.1186/s13045-016-0310-1
Pubmed ID
Authors

Zhiwu Jiang, Manman Deng, Xinru Wei, Wei Ye, Yiren Xiao, Simiao Lin, Suna Wang, Baiheng Li, Xin Liu, Gong Zhang, Peilong Lai, Jianyu Weng, Donghai Wu, Haijia Chen, Wei, Yuguo Ma, Yangqiu Li, Pentao Liu, Xin Du, Duanqing Pei, Yao, Bing Xu, Peng Li

Abstract

The existence and identification of leukemia-initiating cells in adult acute B lymphoblastic leukemia (B-ALL) remain controversial. We examined whether adult B-ALL is hierarchically organized into phenotypically distinct subpopulations of leukemogenic and non-leukemogenic cells or whether most B-ALL cells retain leukemogenic capacity, irrespective of their immunophenotype profiles. Our results suggest that adult B-ALL follows the stochastic stem cell model and that the expression of CD34 and CD38 in B-ALL is reversibly and not hierarchically organized.

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Researcher 2 13%
Student > Master 2 13%
Librarian 1 7%
Professor 1 7%
Other 2 13%
Unknown 4 27%
Readers by discipline Count As %
Medicine and Dentistry 3 20%
Agricultural and Biological Sciences 3 20%
Immunology and Microbiology 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Social Sciences 1 7%
Other 2 13%
Unknown 4 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 09 October 2016.
All research outputs
#762,227
of 8,760,218 outputs
Outputs from Journal of Hematology & Oncology
#11
of 397 outputs
Outputs of similar age
#34,645
of 255,694 outputs
Outputs of similar age from Journal of Hematology & Oncology
#2
of 22 outputs
Altmetric has tracked 8,760,218 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 397 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 97% 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 255,694 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 86% of its contemporaries.
We're also able to compare this research output to 22 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 90% of its contemporaries.