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Erratum to: Viral deep sequencing needs an adaptive approach: IRMA, the iterative refinement meta-assembler

Overview of attention for article published in BMC Genomics, October 2016
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Mentioned by

twitter
1 tweeter

Citations

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6 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Erratum to: Viral deep sequencing needs an adaptive approach: IRMA, the iterative refinement meta-assembler
Published in
BMC Genomics, October 2016
DOI 10.1186/s12864-016-3138-8
Pubmed ID
Authors

Samuel S. Shepard, Sarah Meno, Justin Bahl, Malania M. Wilson, John Barnes, Elizabeth Neuhaus

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 25%
Other 2 17%
Student > Bachelor 2 17%
Student > Master 2 17%
Researcher 1 8%
Other 2 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 33%
Agricultural and Biological Sciences 4 33%
Unspecified 2 17%
Linguistics 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Other 0 0%

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 14 October 2016.
All research outputs
#20,346,264
of 22,893,031 outputs
Outputs from BMC Genomics
#9,295
of 10,670 outputs
Outputs of similar age
#276,486
of 319,475 outputs
Outputs of similar age from BMC Genomics
#199
of 247 outputs
Altmetric has tracked 22,893,031 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 10,670 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 319,475 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 247 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.