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Next generation sequencing reads comparison with an alignment-free distance

Overview of attention for article published in BMC Research Notes, January 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
28 Mendeley
citeulike
1 CiteULike
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Title
Next generation sequencing reads comparison with an alignment-free distance
Published in
BMC Research Notes, January 2014
DOI 10.1186/1756-0500-7-869
Pubmed ID
Authors

Emanuel Weitschek, Daniele Santoni, Giulia Fiscon, Maria De Cola, Paola Bertolazzi, Giovanni Felici

Abstract

Next Generation Sequencing (NGS) machines extract from a biological sample a large number ofshort DNA fragments (reads). These reads are then used for several applications, e.g., sequencereconstruction, DNA assembly, gene expression profiling, mutation analysis.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Denmark 1 4%
Unknown 26 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 29%
Student > Ph. D. Student 8 29%
Student > Master 5 18%
Student > Bachelor 2 7%
Other 1 4%
Other 1 4%
Unknown 3 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 36%
Computer Science 5 18%
Biochemistry, Genetics and Molecular Biology 4 14%
Immunology and Microbiology 1 4%
Social Sciences 1 4%
Other 2 7%
Unknown 5 18%

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 10 March 2016.
All research outputs
#7,009,821
of 13,847,329 outputs
Outputs from BMC Research Notes
#950
of 3,164 outputs
Outputs of similar age
#100,009
of 299,034 outputs
Outputs of similar age from BMC Research Notes
#72
of 226 outputs
Altmetric has tracked 13,847,329 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,164 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 69% 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 299,034 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 66% of its contemporaries.
We're also able to compare this research output to 226 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.