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Parasite associations predict infection risk: incorporating co-infections in predictive models for neglected tropical diseases

Overview of attention for article published in Parasites & Vectors, March 2020
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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 (75th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
16 X users

Citations

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16 Dimensions

Readers on

mendeley
89 Mendeley
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Title
Parasite associations predict infection risk: incorporating co-infections in predictive models for neglected tropical diseases
Published in
Parasites & Vectors, March 2020
DOI 10.1186/s13071-020-04016-2
Pubmed ID
Authors

Nicholas J. Clark, Kei Owada, Eugene Ruberanziza, Giuseppina Ortu, Irenee Umulisa, Ursin Bayisenge, Jean Bosco Mbonigaba, Jean Bosco Mucaca, Warren Lancaster, Alan Fenwick, Ricardo J. Soares Magalhães, Aimable Mbituyumuremyi

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 20%
Researcher 15 17%
Student > Ph. D. Student 13 15%
Student > Bachelor 6 7%
Lecturer 3 3%
Other 4 4%
Unknown 30 34%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 10%
Medicine and Dentistry 9 10%
Biochemistry, Genetics and Molecular Biology 7 8%
Nursing and Health Professions 6 7%
Social Sciences 6 7%
Other 20 22%
Unknown 32 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 03 August 2020.
All research outputs
#4,132,155
of 23,198,445 outputs
Outputs from Parasites & Vectors
#907
of 5,531 outputs
Outputs of similar age
#88,368
of 366,529 outputs
Outputs of similar age from Parasites & Vectors
#26
of 164 outputs
Altmetric has tracked 23,198,445 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,531 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 83% 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 366,529 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 164 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.