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DNLC: differential network local consistency analysis

Overview of attention for article published in BMC Bioinformatics, December 2019
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Mentioned by

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2 X users

Citations

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1 Dimensions

Readers on

mendeley
9 Mendeley
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Title
DNLC: differential network local consistency analysis
Published in
BMC Bioinformatics, December 2019
DOI 10.1186/s12859-019-3046-4
Pubmed ID
Authors

Jianwei Lu, Yao Lu, Yusheng Ding, Qingyang Xiao, Linqing Liu, Qingpo Cai, Yunchuan Kong, Yun Bai, Tianwei Yu

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Professor > Associate Professor 1 11%
Researcher 1 11%
Student > Master 1 11%
Unknown 3 33%
Readers by discipline Count As %
Computer Science 3 33%
Agricultural and Biological Sciences 3 33%
Unknown 3 33%
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 26 December 2019.
All research outputs
#18,044,496
of 23,184,056 outputs
Outputs from BMC Bioinformatics
#6,002
of 7,345 outputs
Outputs of similar age
#316,710
of 457,691 outputs
Outputs of similar age from BMC Bioinformatics
#150
of 218 outputs
Altmetric has tracked 23,184,056 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,345 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 457,691 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 218 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.