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Science Translational Medicine

An automated smartphone-based diagnostic assay for point-of-care semen analysis

Overview of attention for article published in Science Translational Medicine, March 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 5,483)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
167 news outlets
blogs
15 blogs
twitter
163 X users
patent
1 patent
facebook
15 Facebook pages
googleplus
6 Google+ users

Citations

dimensions_citation
144 Dimensions

Readers on

mendeley
253 Mendeley
Title
An automated smartphone-based diagnostic assay for point-of-care semen analysis
Published in
Science Translational Medicine, March 2017
DOI 10.1126/scitranslmed.aai7863
Pubmed ID
Authors

Manoj Kumar Kanakasabapathy, Magesh Sadasivam, Anupriya Singh, Collin Preston, Prudhvi Thirumalaraju, Maanasa Venkataraman, Charles L Bormann, Mohamed Shehata Draz, John C Petrozza, Hadi Shafiee

Abstract

Male infertility affects up to 12% of the world's male population and is linked to various environmental and medical conditions. Manual microscope-based testing and computer-assisted semen analysis (CASA) are the current standard methods to diagnose male infertility; however, these methods are labor-intensive, expensive, and laboratory-based. Cultural and socially dominated stigma against male infertility testing hinders a large number of men from getting tested for infertility, especially in resource-limited African countries. We describe the development and clinical testing of an automated smartphone-based semen analyzer designed for quantitative measurement of sperm concentration and motility for point-of-care male infertility screening. Using a total of 350 clinical semen specimens at a fertility clinic, we have shown that our assay can analyze an unwashed, unprocessed liquefied semen sample with <5-s mean processing time and provide the user a semen quality evaluation based on the World Health Organization (WHO) guidelines with ~98% accuracy. The work suggests that the integration of microfluidics, optical sensing accessories, and advances in consumer electronics, particularly smartphone capabilities, can make remote semen quality testing accessible to people in both developed and developing countries who have access to smartphones.

X Demographics

X Demographics

The data shown below were collected from the profiles of 163 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 253 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 250 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 19%
Researcher 44 17%
Student > Master 37 15%
Student > Bachelor 30 12%
Other 11 4%
Other 36 14%
Unknown 47 19%
Readers by discipline Count As %
Engineering 44 17%
Medicine and Dentistry 30 12%
Agricultural and Biological Sciences 26 10%
Biochemistry, Genetics and Molecular Biology 23 9%
Computer Science 9 4%
Other 55 22%
Unknown 66 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1538. 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 20 July 2022.
All research outputs
#7,638
of 25,791,949 outputs
Outputs from Science Translational Medicine
#22
of 5,483 outputs
Outputs of similar age
#106
of 323,933 outputs
Outputs of similar age from Science Translational Medicine
#2
of 116 outputs
Altmetric has tracked 25,791,949 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,483 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 87.1. This one has done particularly well, scoring higher than 99% 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 323,933 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 99% of its contemporaries.
We're also able to compare this research output to 116 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 98% of its contemporaries.