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Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis

Overview of attention for article published in Malaria Journal, May 2019
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About this Attention Score

  • In the top 5% 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 (97th percentile)

Mentioned by

news
1 news outlet
twitter
50 X users
facebook
1 Facebook page

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
115 Mendeley
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Title
Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis
Published in
Malaria Journal, May 2019
DOI 10.1186/s12936-019-2822-y
Pubmed ID
Authors

Emmanuel P. Mwanga, Salum A. Mapua, Doreen J. Siria, Halfan S. Ngowo, Francis Nangacha, Joseph Mgando, Francesco Baldini, Mario González Jiménez, Heather M. Ferguson, Klaas Wynne, Prashanth Selvaraj, Simon A. Babayan, Fredros O. Okumu

X Demographics

X Demographics

The data shown below were collected from the profiles of 50 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 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 115 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 18%
Student > Master 11 10%
Student > Ph. D. Student 10 9%
Student > Bachelor 9 8%
Student > Doctoral Student 7 6%
Other 15 13%
Unknown 42 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 15%
Medicine and Dentistry 7 6%
Computer Science 6 5%
Immunology and Microbiology 6 5%
Biochemistry, Genetics and Molecular Biology 5 4%
Other 25 22%
Unknown 49 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 16 August 2022.
All research outputs
#1,024,407
of 25,718,113 outputs
Outputs from Malaria Journal
#122
of 5,967 outputs
Outputs of similar age
#22,312
of 365,156 outputs
Outputs of similar age from Malaria Journal
#2
of 99 outputs
Altmetric has tracked 25,718,113 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,967 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. 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 365,156 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 99 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 97% of its contemporaries.