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Clustered precursors in bone marrow sections predict early relapse in patients with acute myeloid leukemia within hematologic remission

Overview of attention for article published in Journal of Translational Medicine, January 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Clustered precursors in bone marrow sections predict early relapse in patients with acute myeloid leukemia within hematologic remission
Published in
Journal of Translational Medicine, January 2014
DOI 10.1186/1479-5876-12-18
Pubmed ID
Authors

Yehua Yu, Zhentian Wu, Jing Zhang, Yuanmei Zhai, Yinghua Yuan, Sihong Liu, Hui Wang, Jun Shi

Abstract

Bone marrow (BM) aspiration is largely used for relapse assessment in acute myeloid leukemia (AML). It remains unclear what roles that BM trephine biopsy plays on relapse assessment.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 10%
India 1 10%
Unknown 8 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 20%
Student > Ph. D. Student 1 10%
Other 1 10%
Student > Doctoral Student 1 10%
Unknown 5 50%
Readers by discipline Count As %
Medicine and Dentistry 2 20%
Physics and Astronomy 1 10%
Agricultural and Biological Sciences 1 10%
Unknown 6 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 July 2014.
All research outputs
#7,195,155
of 22,741,406 outputs
Outputs from Journal of Translational Medicine
#1,156
of 3,975 outputs
Outputs of similar age
#87,838
of 305,705 outputs
Outputs of similar age from Journal of Translational Medicine
#41
of 119 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,975 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 69% 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 305,705 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.