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A machine learning approach for accurate and real-time DNA sequence identification

Overview of attention for article published in BMC Genomics, July 2021
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Mentioned by

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3 X users

Citations

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10 Dimensions

Readers on

mendeley
26 Mendeley
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Title
A machine learning approach for accurate and real-time DNA sequence identification
Published in
BMC Genomics, July 2021
DOI 10.1186/s12864-021-07841-6
Pubmed ID
Authors

Yiren Wang, Mashari Alangari, Joshua Hihath, Arindam K. Das, M. P. Anantram

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

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 15%
Unspecified 2 8%
Professor 2 8%
Student > Ph. D. Student 2 8%
Lecturer 1 4%
Other 3 12%
Unknown 12 46%
Readers by discipline Count As %
Engineering 4 15%
Chemistry 4 15%
Computer Science 3 12%
Unspecified 2 8%
Unknown 13 50%
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 19 January 2023.
All research outputs
#19,645,031
of 25,010,497 outputs
Outputs from BMC Genomics
#8,053
of 11,139 outputs
Outputs of similar age
#306,078
of 431,545 outputs
Outputs of similar age from BMC Genomics
#144
of 184 outputs
Altmetric has tracked 25,010,497 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,139 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 22nd percentile – i.e., 22% 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 431,545 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 184 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.