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Single molecule sequencing and genome assembly of a clinical specimen of Loa loa,the causative agent of loiasis

Overview of attention for article published in BMC Genomics, September 2014
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

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1 blog
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28 X users
googleplus
1 Google+ user

Citations

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26 Dimensions

Readers on

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56 Mendeley
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Title
Single molecule sequencing and genome assembly of a clinical specimen of Loa loa,the causative agent of loiasis
Published in
BMC Genomics, September 2014
DOI 10.1186/1471-2164-15-788
Pubmed ID
Authors

Luke J Tallon, Xinyue Liu, Sasisekhar Bennuru, Marcus C Chibucos, Alvaro Godinez, Sandra Ott, Xuechu Zhao, Lisa Sadzewicz, Claire M Fraser, Thomas B Nutman, Julie C Dunning Hotopp

Abstract

More than 20% of the world's population is at risk for infection by filarial nematodes and >180 million people worldwide are already infected. Along with infection comes significant morbidity that has a socioeconomic impact. The eight filarial nematodes that infect humans are Wuchereria bancrofti, Brugia malayi, Brugia timori, Onchocerca volvulus, Loa loa, Mansonella perstans, Mansonella streptocerca, and Mansonella ozzardi, of which three have published draft genome sequences. Since all have humans as the definitive host, standard avenues of research that rely on culturing and genetics have often not been possible. Therefore, genome sequencing provides an important window into understanding the biology of these parasites. The need for large amounts of high quality genomic DNA from homozygous, inbred lines; the availability of only short sequence reads from next-generation sequencing platforms at a reasonable expense; and the lack of random large insert libraries has limited our ability to generate high quality genome sequences for these parasites. However, the Pacific Biosciences single molecule, real-time sequencing platform holds great promise in reducing input amounts and generating sufficiently long sequences that bypass the need for large insert paired libraries.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Indonesia 1 2%
Norway 1 2%
Unknown 52 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 20%
Student > Ph. D. Student 10 18%
Student > Master 7 13%
Professor > Associate Professor 5 9%
Other 4 7%
Other 7 13%
Unknown 12 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 39%
Biochemistry, Genetics and Molecular Biology 9 16%
Computer Science 3 5%
Medicine and Dentistry 2 4%
Immunology and Microbiology 2 4%
Other 5 9%
Unknown 13 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 06 December 2015.
All research outputs
#1,512,862
of 23,881,329 outputs
Outputs from BMC Genomics
#315
of 10,793 outputs
Outputs of similar age
#16,594
of 245,753 outputs
Outputs of similar age from BMC Genomics
#5
of 208 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% 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 245,753 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 208 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 98% of its contemporaries.