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Novel algorithms for LDD motif search

Overview of attention for article published in BMC Genomics, June 2019
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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3 Mendeley
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Title
Novel algorithms for LDD motif search
Published in
BMC Genomics, June 2019
DOI 10.1186/s12864-019-5701-6
Pubmed ID
Authors

Peng Xiao, Martin Schiller, Sanguthevar Rajasekaran

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

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Student > Master 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Engineering 1 33%
Unknown 1 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 08 June 2019.
All research outputs
#20,573,484
of 23,150,406 outputs
Outputs from BMC Genomics
#9,328
of 10,712 outputs
Outputs of similar age
#300,408
of 352,687 outputs
Outputs of similar age from BMC Genomics
#211
of 251 outputs
Altmetric has tracked 23,150,406 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 10,712 research outputs from this source. They receive a mean Attention Score of 4.7. 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 352,687 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 251 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.