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FMSM: a novel computational model for predicting potential miRNA biomarkers for various human diseases

Overview of attention for article published in BMC Systems Biology, December 2018
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Mentioned by

twitter
1 tweeter

Citations

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3 Dimensions

Readers on

mendeley
6 Mendeley
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Title
FMSM: a novel computational model for predicting potential miRNA biomarkers for various human diseases
Published in
BMC Systems Biology, December 2018
DOI 10.1186/s12918-018-0664-9
Authors

Yiwen Sun, Zexuan Zhu, Zhu-Hong You, Zijie Zeng, Zhi-An Huang, Yu-An Huang

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Researcher 2 33%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 50%
Agricultural and Biological Sciences 2 33%
Chemical Engineering 1 17%

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 02 January 2019.
All research outputs
#12,455,863
of 14,083,757 outputs
Outputs from BMC Systems Biology
#950
of 1,090 outputs
Outputs of similar age
#312,087
of 367,291 outputs
Outputs of similar age from BMC Systems Biology
#64
of 76 outputs
Altmetric has tracked 14,083,757 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 1,090 research outputs from this source. They receive a mean Attention Score of 3.4. 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 367,291 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 76 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.