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ContigExtender: a new approach to improving de novo sequence assembly for viral metagenomics data

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
40 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
24 Mendeley
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Title
ContigExtender: a new approach to improving de novo sequence assembly for viral metagenomics data
Published in
BMC Bioinformatics, March 2021
DOI 10.1186/s12859-021-04038-2
Pubmed ID
Authors

Deng, Zachary, Delwart, Eric

Twitter Demographics

The data shown below were collected from the profiles of 40 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 21%
Student > Bachelor 4 17%
Researcher 3 13%
Student > Master 3 13%
Student > Doctoral Student 2 8%
Other 5 21%
Unknown 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 25%
Biochemistry, Genetics and Molecular Biology 6 25%
Computer Science 2 8%
Chemical Engineering 1 4%
Environmental Science 1 4%
Other 3 13%
Unknown 5 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 27 May 2021.
All research outputs
#1,459,664
of 19,476,606 outputs
Outputs from BMC Bioinformatics
#357
of 6,603 outputs
Outputs of similar age
#44,650
of 368,127 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 35 outputs
Altmetric has tracked 19,476,606 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,603 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 94% of its peers.
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 368,127 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.