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Genetic polymorphisms of histone methyltransferase SETD2 predicts prognosis and chemotherapy response in Chinese acute myeloid leukemia patients

Overview of attention for article published in Journal of Translational Medicine, March 2019
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Mentioned by

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1 X user

Citations

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17 Dimensions

Readers on

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19 Mendeley
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Title
Genetic polymorphisms of histone methyltransferase SETD2 predicts prognosis and chemotherapy response in Chinese acute myeloid leukemia patients
Published in
Journal of Translational Medicine, March 2019
DOI 10.1186/s12967-019-1848-9
Pubmed ID
Authors

Suwei Wang, Xiaoqing Yuan, Yazhen Liu, Kewei Zhu, Peng Chen, Han Yan, Daoyu Zhang, Xi Li, Hui Zeng, Xielan Zhao, Xiaoping Chen, Gan Zhou, Shan Cao

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

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 16%
Student > Doctoral Student 2 11%
Unspecified 1 5%
Student > Bachelor 1 5%
Other 1 5%
Other 2 11%
Unknown 9 47%
Readers by discipline Count As %
Medicine and Dentistry 5 26%
Biochemistry, Genetics and Molecular Biology 1 5%
Unspecified 1 5%
Agricultural and Biological Sciences 1 5%
Computer Science 1 5%
Other 0 0%
Unknown 10 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 March 2019.
All research outputs
#20,563,454
of 23,138,859 outputs
Outputs from Journal of Translational Medicine
#3,366
of 4,066 outputs
Outputs of similar age
#302,297
of 351,521 outputs
Outputs of similar age from Journal of Translational Medicine
#65
of 104 outputs
Altmetric has tracked 23,138,859 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,066 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 1st percentile – i.e., 1% 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 351,521 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.