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Detecting the stable point of therapeutic effect of chronic myeloid leukemia based on dynamic network biomarkers

Overview of attention for article published in BMC Bioinformatics, May 2019
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2 X users

Citations

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Readers on

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10 Mendeley
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Title
Detecting the stable point of therapeutic effect of chronic myeloid leukemia based on dynamic network biomarkers
Published in
BMC Bioinformatics, May 2019
DOI 10.1186/s12859-019-2738-0
Pubmed ID
Authors

Junhua Xu, Min Wu, Shanshan Zhu, Jinzhi Lei, Jie Gao

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 10%
Researcher 1 10%
Other 1 10%
Student > Master 1 10%
Unknown 6 60%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 20%
Mathematics 1 10%
Computer Science 1 10%
Unknown 6 60%
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 11 May 2019.
All research outputs
#19,944,505
of 25,389,532 outputs
Outputs from BMC Bioinformatics
#6,294
of 7,690 outputs
Outputs of similar age
#262,423
of 363,118 outputs
Outputs of similar age from BMC Bioinformatics
#142
of 189 outputs
Altmetric has tracked 25,389,532 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,690 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 13th percentile – i.e., 13% 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 363,118 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 189 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.