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MICRAT: a novel algorithm for inferring gene regulatory networks using time series gene expression data

Overview of attention for article published in BMC Systems Biology, December 2018
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
66 Mendeley
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Title
MICRAT: a novel algorithm for inferring gene regulatory networks using time series gene expression data
Published in
BMC Systems Biology, December 2018
DOI 10.1186/s12918-018-0635-1
Pubmed ID
Authors

Bei Yang, Yaohui Xu, Andrew Maxwell, Wonryull Koh, Ping Gong, Chaoyang Zhang

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

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 21%
Student > Ph. D. Student 12 18%
Student > Master 8 12%
Student > Doctoral Student 3 5%
Student > Bachelor 3 5%
Other 10 15%
Unknown 16 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 20%
Agricultural and Biological Sciences 10 15%
Computer Science 7 11%
Engineering 6 9%
Mathematics 4 6%
Other 5 8%
Unknown 21 32%
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 16 December 2018.
All research outputs
#15,708,425
of 23,344,526 outputs
Outputs from BMC Systems Biology
#646
of 1,143 outputs
Outputs of similar age
#266,088
of 438,229 outputs
Outputs of similar age from BMC Systems Biology
#22
of 54 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,143 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 32nd percentile – i.e., 32% 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 438,229 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.