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Recent advances in malaria genomics and epigenomics

Overview of attention for article published in Genome Medicine, September 2016
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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 (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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31 X users
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2 Facebook pages
wikipedia
1 Wikipedia page

Citations

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37 Dimensions

Readers on

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256 Mendeley
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Title
Recent advances in malaria genomics and epigenomics
Published in
Genome Medicine, September 2016
DOI 10.1186/s13073-016-0343-7
Pubmed ID
Authors

Sebastian Kirchner, B. Joanne Power, Andrew P. Waters

Abstract

Malaria continues to impose a significant disease burden on low- and middle-income countries in the tropics. However, revolutionary progress over the last 3 years in nucleic acid sequencing, reverse genetics, and post-genome analyses has generated step changes in our understanding of malaria parasite (Plasmodium spp.) biology and its interactions with its host and vector. Driven by the availability of vast amounts of genome sequence data from Plasmodium species strains, relevant human populations of different ethnicities, and mosquito vectors, researchers can consider any biological component of the malarial process in isolation or in the interactive setting that is infection. In particular, considerable progress has been made in the area of population genomics, with Plasmodium falciparum serving as a highly relevant model. Such studies have demonstrated that genome evolution under strong selective pressure can be detected. These data, combined with reverse genetics, have enabled the identification of the region of the P. falciparum genome that is under selective pressure and the confirmation of the functionality of the mutations in the kelch13 gene that accompany resistance to the major frontline antimalarial, artemisinin. Furthermore, the central role of epigenetic regulation of gene expression and antigenic variation and developmental fate in P. falciparum is becoming ever clearer. This review summarizes recent exciting discoveries that genome technologies have enabled in malaria research and highlights some of their applications to healthcare. The knowledge gained will help to develop surveillance approaches for the emergence or spread of drug resistance and to identify new targets for the development of antimalarial drugs and perhaps vaccines.

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 256 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Australia 1 <1%
Unknown 253 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 21%
Researcher 39 15%
Student > Master 38 15%
Student > Postgraduate 36 14%
Student > Bachelor 21 8%
Other 33 13%
Unknown 36 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 76 30%
Agricultural and Biological Sciences 71 28%
Medicine and Dentistry 16 6%
Immunology and Microbiology 11 4%
Computer Science 7 3%
Other 27 11%
Unknown 48 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 05 April 2018.
All research outputs
#1,778,740
of 24,916,485 outputs
Outputs from Genome Medicine
#395
of 1,535 outputs
Outputs of similar age
#31,179
of 342,462 outputs
Outputs of similar age from Genome Medicine
#6
of 22 outputs
Altmetric has tracked 24,916,485 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 1,535 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one has gotten more attention than average, scoring higher than 74% 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 342,462 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 90% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.