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Development and validation of GMI signature based random survival forest prognosis model to predict clinical outcome in acute myeloid leukemia

Overview of attention for article published in BMC Medical Genomics, June 2019
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1 X user

Citations

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12 Dimensions

Readers on

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18 Mendeley
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Title
Development and validation of GMI signature based random survival forest prognosis model to predict clinical outcome in acute myeloid leukemia
Published in
BMC Medical Genomics, June 2019
DOI 10.1186/s12920-019-0540-5
Pubmed ID
Authors

Mingguang Shi, Guofu Xu

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

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 11%
Student > Doctoral Student 2 11%
Student > Master 2 11%
Student > Ph. D. Student 1 6%
Professor 1 6%
Other 2 11%
Unknown 8 44%
Readers by discipline Count As %
Medicine and Dentistry 4 22%
Engineering 2 11%
Mathematics 1 6%
Computer Science 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 0 0%
Unknown 9 50%
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 28 June 2019.
All research outputs
#20,574,182
of 23,151,189 outputs
Outputs from BMC Medical Genomics
#1,018
of 1,240 outputs
Outputs of similar age
#298,195
of 351,000 outputs
Outputs of similar age from BMC Medical Genomics
#40
of 44 outputs
Altmetric has tracked 23,151,189 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 1,240 research outputs from this source. They receive a mean Attention Score of 4.7. 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 351,000 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 44 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.