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Deep learning for DNase I hypersensitive sites identification

Overview of attention for article published in BMC Genomics, December 2018
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Mentioned by

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1 X user

Citations

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10 Dimensions

Readers on

mendeley
37 Mendeley
Title
Deep learning for DNase I hypersensitive sites identification
Published in
BMC Genomics, December 2018
DOI 10.1186/s12864-018-5283-8
Pubmed ID
Authors

Chuqiao Lyu, Lei Wang, Juhua Zhang

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

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 16%
Researcher 6 16%
Student > Bachelor 5 14%
Student > Master 5 14%
Student > Doctoral Student 2 5%
Other 5 14%
Unknown 8 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 19%
Biochemistry, Genetics and Molecular Biology 6 16%
Computer Science 4 11%
Medicine and Dentistry 3 8%
Engineering 2 5%
Other 3 8%
Unknown 12 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 02 January 2019.
All research outputs
#20,547,611
of 23,120,280 outputs
Outputs from BMC Genomics
#9,329
of 10,708 outputs
Outputs of similar age
#371,533
of 437,292 outputs
Outputs of similar age from BMC Genomics
#193
of 243 outputs
Altmetric has tracked 23,120,280 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 10,708 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 437,292 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 243 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.