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Exploring the potential of computer vision analysis of pupae size dimorphism for adaptive sex sorting systems of various vector mosquito species

Overview of attention for article published in Parasites & Vectors, December 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
50 Mendeley
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Title
Exploring the potential of computer vision analysis of pupae size dimorphism for adaptive sex sorting systems of various vector mosquito species
Published in
Parasites & Vectors, December 2018
DOI 10.1186/s13071-018-3221-x
Pubmed ID
Authors

Mario Zacarés, Gustavo Salvador-Herranz, David Almenar, Carles Tur, Rafael Argilés, Kostas Bourtzis, Hervé Bossin, Ignacio Pla

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 16%
Student > Master 8 16%
Student > Ph. D. Student 7 14%
Student > Bachelor 5 10%
Student > Doctoral Student 3 6%
Other 8 16%
Unknown 11 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 38%
Biochemistry, Genetics and Molecular Biology 6 12%
Unspecified 3 6%
Environmental Science 2 4%
Nursing and Health Professions 2 4%
Other 6 12%
Unknown 12 24%
Attention Score in Context

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 06 April 2020.
All research outputs
#7,334,289
of 23,849,058 outputs
Outputs from Parasites & Vectors
#1,690
of 5,620 outputs
Outputs of similar age
#147,118
of 441,058 outputs
Outputs of similar age from Parasites & Vectors
#54
of 159 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 5,620 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 gotten more attention than average, scoring higher than 68% 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 441,058 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.