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Targeting nuclear β-catenin as therapy for post-myeloproliferative neoplasm secondary AML

Overview of attention for article published in Leukemia, December 2018
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

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31 Dimensions

Readers on

mendeley
35 Mendeley
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Title
Targeting nuclear β-catenin as therapy for post-myeloproliferative neoplasm secondary AML
Published in
Leukemia, December 2018
DOI 10.1038/s41375-018-0334-3
Pubmed ID
Authors

Dyana T. Saenz, Warren Fiskus, Taghi Manshouri, Christopher P. Mill, Yimin Qian, Kanak Raina, Kimal Rajapakshe, Cristian Coarfa, Raffaella Soldi, Prithviraj Bose, Gautam Borthakur, Tapan M. Kadia, Joseph D. Khoury, Lucia Masarova, Agnieszka J. Nowak, Baohua Sun, David N. Saenz, Steven M. Kornblau, Steve Horrigan, Sunil Sharma, Peng Qiu, Craig M. Crews, Srdan Verstovsek, Kapil N. Bhalla

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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 23%
Student > Master 5 14%
Researcher 3 9%
Student > Doctoral Student 2 6%
Professor 1 3%
Other 2 6%
Unknown 14 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 23%
Medicine and Dentistry 4 11%
Agricultural and Biological Sciences 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Veterinary Science and Veterinary Medicine 1 3%
Other 1 3%
Unknown 16 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 December 2018.
All research outputs
#15,746,007
of 24,003,070 outputs
Outputs from Leukemia
#4,187
of 5,213 outputs
Outputs of similar age
#257,428
of 442,615 outputs
Outputs of similar age from Leukemia
#57
of 79 outputs
Altmetric has tracked 24,003,070 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,213 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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 442,615 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.