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Molecular evolution and phylogenetics of rodent malaria parasites

Overview of attention for article published in BMC Evolutionary Biology, January 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

twitter
2 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
78 Mendeley
citeulike
1 CiteULike
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Title
Molecular evolution and phylogenetics of rodent malaria parasites
Published in
BMC Evolutionary Biology, January 2012
DOI 10.1186/1471-2148-12-219
Pubmed ID
Authors

Ricardo S Ramiro, Sarah E Reece, Darren J Obbard

Abstract

Over the last 6 decades, rodent Plasmodium species have become key model systems for understanding the basic biology of malaria parasites. Cell and molecular parasitology have made much progress in identifying genes underpinning interactions between malaria parasites, hosts, and vectors. However, little attention has been paid to the evolutionary genetics of parasites, which provides context for identifying potential therapeutic targets and for understanding the selective forces shaping parasites in natural populations. Additionally, understanding the relationships between species, subspecies, and strains, is necessary to maximize the utility of rodent malaria parasites as medically important infectious disease models, and for investigating the evolution of host-parasite interactions.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 4%
Portugal 2 3%
Lithuania 1 1%
Germany 1 1%
Unknown 71 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 26%
Student > Master 18 23%
Student > Ph. D. Student 12 15%
Student > Bachelor 6 8%
Professor 4 5%
Other 11 14%
Unknown 7 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 54%
Biochemistry, Genetics and Molecular Biology 10 13%
Medicine and Dentistry 4 5%
Immunology and Microbiology 3 4%
Veterinary Science and Veterinary Medicine 2 3%
Other 5 6%
Unknown 12 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 June 2018.
All research outputs
#3,374,577
of 13,093,005 outputs
Outputs from BMC Evolutionary Biology
#1,047
of 2,456 outputs
Outputs of similar age
#33,959
of 142,982 outputs
Outputs of similar age from BMC Evolutionary Biology
#1
of 1 outputs
Altmetric has tracked 13,093,005 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has gotten more attention than average, scoring higher than 56% 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 142,982 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 75% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them