↓ Skip to main content

Identification of Snails and Schistosoma of Medical Importance via Convolutional Neural Networks: A Proof-of-Concept Application for Human Schistosomiasis

Overview of attention for article published in Frontiers in Public Health, July 2021
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
33 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Identification of Snails and Schistosoma of Medical Importance via Convolutional Neural Networks: A Proof-of-Concept Application for Human Schistosomiasis
Published in
Frontiers in Public Health, July 2021
DOI 10.3389/fpubh.2021.642895
Pubmed ID
Authors

Krti Tallam, Zac Yung-Chun Liu, Andrew J. Chamberlin, Isabel J. Jones, Pretom Shome, Gilles Riveau, Raphael A. Ndione, Lydie Bandagny, Nicolas Jouanard, Paul Van Eck, Ton Ngo, Susanne H. Sokolow, Giulio A. De Leo

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 9%
Researcher 3 9%
Student > Ph. D. Student 3 9%
Other 2 6%
Student > Bachelor 2 6%
Other 4 12%
Unknown 16 48%
Readers by discipline Count As %
Computer Science 6 18%
Immunology and Microbiology 3 9%
Agricultural and Biological Sciences 2 6%
Mathematics 1 3%
Business, Management and Accounting 1 3%
Other 4 12%
Unknown 16 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 June 2022.
All research outputs
#14,662,259
of 24,588,574 outputs
Outputs from Frontiers in Public Health
#3,928
of 12,790 outputs
Outputs of similar age
#202,351
of 426,721 outputs
Outputs of similar age from Frontiers in Public Health
#244
of 630 outputs
Altmetric has tracked 24,588,574 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,790 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 67% 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 426,721 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 50% of its contemporaries.
We're also able to compare this research output to 630 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 60% of its contemporaries.