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A non-invasive tool for detecting cervical cancer odor by trained scent dogs

Overview of attention for article published in BMC Cancer, January 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

news
2 news outlets
twitter
4 tweeters

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
94 Mendeley
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Title
A non-invasive tool for detecting cervical cancer odor by trained scent dogs
Published in
BMC Cancer, January 2017
DOI 10.1186/s12885-016-2996-4
Pubmed ID
Authors

Héctor Guerrero-Flores, Teresa Apresa-García, Ónix Garay-Villar, Alejandro Sánchez-Pérez, David Flores-Villegas, Artfy Bandera-Calderón, Raúl García-Palacios, Teresita Rojas-Sánchez, Pablo Romero-Morelos, Verónica Sánchez-Albor, Osvaldo Mata, Víctor Arana-Conejo, Jesús Badillo-Romero, Keiko Taniguchi, Daniel Marrero-Rodríguez, Mónica Mendoza-Rodríguez, Miriam Rodríguez-Esquivel, Víctor Huerta-Padilla, Andrea Martínez-Castillo, Irma Hernández-Gallardo, Ricardo López-Romero, Cindy Bandala, Juan Rosales-Guevara, Mauricio Salcedo

Abstract

Cervical Cancer (CC) has become a public health concern of alarming proportions in many developing countries such as Mexico, particularly in low income sectors and marginalized regions. As such, an early detection is a key medical factor in improving not only their population's quality of life but also its life expectancy. Interestingly, there has been an increase in the number of reports describing successful attempts at detecting cancer cells in human tissues or fluids using trained (sniffer) dogs. The great odor detection threshold exhibited by dogs is not unheard of. However, this represented a potential opportunity to develop an affordable, accessible, and non-invasive method for detection of CC. Using clicker training, a male beagle was trained to recognize CC odor. During training, fresh CC biopsies were used as a reference point. Other samples used included cervical smears on glass slides and medical surgical bandages used as intimate sanitary pads by CC patients. A double-blind procedure was exercised when testing the beagle's ability to discriminate CC from control samples. The beagle was proven able to detect CC-specific volatile organic compounds (VOC) contained in both fresh cervical smear samples and adsorbent material samples. Beagle's success rate at detecting and discriminating CC and non-CC odors, as indicated by specificity and sensitivity values recorded during the experiment, stood at an overall high (>90%). CC-related VOC in adsorbent materials were detectable after only eight hours of use by CC patients. Present data suggests different applications for VOC from the uterine cervix to be used in the detection and diagnosis of CC. Furthermore, data supports the use of trained dogs as a viable, affordable, non-invasive and, therefore, highly relevant alternative method for detection of CC lesions. Additional benefits of this method include its quick turnaround time and ease of use while remaining highly accurate and robust.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 20%
Student > Ph. D. Student 13 14%
Student > Bachelor 11 12%
Researcher 9 10%
Student > Doctoral Student 8 9%
Other 19 20%
Unknown 15 16%
Readers by discipline Count As %
Medicine and Dentistry 15 16%
Agricultural and Biological Sciences 14 15%
Biochemistry, Genetics and Molecular Biology 7 7%
Engineering 5 5%
Veterinary Science and Veterinary Medicine 5 5%
Other 28 30%
Unknown 20 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 07 December 2021.
All research outputs
#1,095,355
of 19,584,195 outputs
Outputs from BMC Cancer
#150
of 7,056 outputs
Outputs of similar age
#28,946
of 378,732 outputs
Outputs of similar age from BMC Cancer
#1
of 1 outputs
Altmetric has tracked 19,584,195 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,056 research outputs from this source. They receive a mean Attention Score of 4.1. 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 378,732 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 92% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them