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Intrinsic limitations in mainstream methods of identifying network motifs in biology

Overview of attention for article published in BMC Bioinformatics, April 2020
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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1 X user
facebook
1 Facebook page

Citations

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2 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Intrinsic limitations in mainstream methods of identifying network motifs in biology
Published in
BMC Bioinformatics, April 2020
DOI 10.1186/s12859-020-3441-x
Pubmed ID
Authors

James Fodor, Michael Brand, Rebecca J. Stones, Ashley M. Buckle

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 54%
Professor 1 8%
Other 1 8%
Student > Master 1 8%
Unknown 3 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 31%
Agricultural and Biological Sciences 2 15%
Computer Science 1 8%
Social Sciences 1 8%
Neuroscience 1 8%
Other 0 0%
Unknown 4 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 30 April 2020.
All research outputs
#15,077,031
of 23,204,238 outputs
Outputs from BMC Bioinformatics
#5,113
of 7,354 outputs
Outputs of similar age
#223,748
of 377,836 outputs
Outputs of similar age from BMC Bioinformatics
#81
of 120 outputs
Altmetric has tracked 23,204,238 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 7,354 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 26th percentile – i.e., 26% 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 377,836 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.