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scdNet: a computational tool for single-cell differential network analysis

Overview of attention for article published in BMC Systems Biology, December 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
57 Mendeley
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Title
scdNet: a computational tool for single-cell differential network analysis
Published in
BMC Systems Biology, December 2018
DOI 10.1186/s12918-018-0652-0
Pubmed ID
Authors

Yu-Chiao Chiu, Tzu-Hung Hsiao, Li-Ju Wang, Yidong Chen, Yu-Hsuan Joni Shao

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 25%
Student > Bachelor 7 12%
Researcher 6 11%
Student > Master 5 9%
Other 3 5%
Other 7 12%
Unknown 15 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 37%
Agricultural and Biological Sciences 3 5%
Neuroscience 3 5%
Mathematics 2 4%
Psychology 2 4%
Other 8 14%
Unknown 18 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 25 December 2018.
All research outputs
#15,329,366
of 23,577,761 outputs
Outputs from BMC Systems Biology
#603
of 1,143 outputs
Outputs of similar age
#252,971
of 438,747 outputs
Outputs of similar age from BMC Systems Biology
#21
of 55 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% 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 43rd percentile – i.e., 43% 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 438,747 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.