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NOREC4DNA: using near-optimal rateless erasure codes for DNA storage

Overview of attention for article published in BMC Bioinformatics, August 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
10 Mendeley
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Title
NOREC4DNA: using near-optimal rateless erasure codes for DNA storage
Published in
BMC Bioinformatics, August 2021
DOI 10.1186/s12859-021-04318-x
Pubmed ID
Authors

Peter Michael Schwarz, Bernd Freisleben

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 40%
Researcher 3 30%
Student > Bachelor 1 10%
Other 1 10%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 3 30%
Biochemistry, Genetics and Molecular Biology 3 30%
Chemical Engineering 1 10%
Agricultural and Biological Sciences 1 10%
Engineering 1 10%
Other 0 0%
Unknown 1 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 August 2021.
All research outputs
#12,541,323
of 21,835,448 outputs
Outputs from BMC Bioinformatics
#3,854
of 7,054 outputs
Outputs of similar age
#149,548
of 342,363 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 15 outputs
Altmetric has tracked 21,835,448 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,054 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 44th percentile – i.e., 44% 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 342,363 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.