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Patterns of Infection and Patterns of Evolution: How a Malaria Parasite Brought “Monkeys and Man” Closer Together in the 1960s

Overview of attention for article published in Journal of the History of Biology, August 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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6 X users
facebook
1 Facebook page
wikipedia
5 Wikipedia pages

Citations

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11 Dimensions

Readers on

mendeley
36 Mendeley
Title
Patterns of Infection and Patterns of Evolution: How a Malaria Parasite Brought “Monkeys and Man” Closer Together in the 1960s
Published in
Journal of the History of Biology, August 2015
DOI 10.1007/s10739-015-9421-8
Pubmed ID
Authors

Rachel Mason Dentinger

Abstract

In 1960, American parasitologist Don Eyles was unexpectedly infected with a malariaparasite isolated from a macaque. He and his supervisor, G. Robert Coatney of the National Institutes of Health, had started this series of experiments with the assumption that humans were not susceptible to "monkey malaria." The revelation that a mosquito carrying a macaque parasite could infect a human raised a whole range of public health and biological questions. This paper follows Coatney's team of parasitologists and their subjects: from the human to the nonhuman; from the American laboratory to the forests of Malaysia; and between the domains of medical research and natural history. In the course of this research, Coatney and his colleagues inverted Koch's postulate, by which animal subjects are used to identify and understand human parasites. In contrast, Coatney's experimental protocol used human subjects to identify and understand monkey parasites. In so doing, the team repeatedly followed malaria parasites across the purported boundary separating monkeys and humans, a practical experience that created a sense of biological symmetry between these separate species. Ultimately, this led Coatney and his colleagues make evolutionary inferences, concluding "that monkeys and man are more closely related than some of us wish to admit." In following monkeys, men, and malaria across biological, geographical, and disciplinary boundaries, this paper offers a new historical narrative, demonstrating that the pursuit of public health agendas can fuel the expansion of evolutionary knowledge.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 17%
Student > Ph. D. Student 6 17%
Researcher 5 14%
Student > Bachelor 5 14%
Lecturer 2 6%
Other 8 22%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 31%
Social Sciences 4 11%
Biochemistry, Genetics and Molecular Biology 4 11%
Medicine and Dentistry 4 11%
Environmental Science 2 6%
Other 6 17%
Unknown 5 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 23 November 2020.
All research outputs
#4,826,887
of 23,758,334 outputs
Outputs from Journal of the History of Biology
#88
of 500 outputs
Outputs of similar age
#59,956
of 268,839 outputs
Outputs of similar age from Journal of the History of Biology
#3
of 7 outputs
Altmetric has tracked 23,758,334 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 500 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 82% 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 268,839 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 77% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.