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Mobile Health Technologies

Overview of attention for book
Cover of 'Mobile Health Technologies'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Mobile device for disease diagnosis and data tracking in resource-limited settings.
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    Chapter 2 Microfluidic Devices for Nucleic Acid (NA) Isolation, Isothermal NA Amplification, and Real-Time Detection
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    Chapter 3 Mobile Based Gold Nanoprobe TB Diagnostics for Point-of-Need
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    Chapter 4 Immunofluorescence Microtip Sensor for Point-of-Care Tuberculosis (TB) Diagnosis
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    Chapter 5 Improving Lateral-Flow Immunoassay (LFIA) Diagnostics via Biomarker Enrichment for mHealth.
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    Chapter 6 Microfluidic Toner-Based Analytical Devices: Disposable, Lightweight, and Portable Platforms for Point-of-Care Diagnostics with Colorimetric Detection
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    Chapter 7 Detection of Protein Biomarker Using a Blood Glucose Meter
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    Chapter 8 Microchip ELISA Coupled with Cell Phone to Detect Ovarian Cancer HE4 Biomarker in Urine
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    Chapter 9 Point-of-Care Rare Cell Cancer Diagnostics.
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    Chapter 10 Mobile Flow Cytometer for mHealth.
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    Chapter 11 Mobile Fiber-Optic Sensor for Detection of Oral and Cervical Cancer in the Developing World
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    Chapter 12 Opto-fluidics based microscopy and flow cytometry on a cell phone for blood analysis.
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    Chapter 13 Optofluidic Device for Label-Free Cell Classification from Whole Blood
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    Chapter 14 A Wearable Sensing System for Assessment of Exposures to Environmental Volatile Organic Compounds
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    Chapter 15 Quantitative Point-of-Care (POC) Assays Using Measurements of Time as the Readout: A New Type of Readout for mHealth.
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    Chapter 16 Smartphone-Based Fluorescence Detector for mHealth.
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    Chapter 17 Two-Layer Lab-on-a-Chip (LOC) with Passive Capillary Valves for mHealth Medical Diagnostics.
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    Chapter 18 Spectrometry with Consumer-Quality CMOS Cameras
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    Chapter 19 Mobile Phone Based Electrochemiluminescence Detection in Paper-Based Microfluidic Sensors
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    Chapter 20 iStethoscope: A Demonstration of the Use of Mobile Devices for Auscultation
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    Chapter 21 iPhysioMeter: A Smartphone Photoplethysmograph for Measuring Various Physiological Indices
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    Chapter 22 Smartphone Attachment for Stethoscope Recording
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    Chapter 23 Use of Smartphones and Portable Media Devices for Quantifying Human Movement Characteristics of Gait, Tendon Reflex Response, and Parkinson’s Disease Hand Tremor
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    Chapter 24 Measuring tremor with a smartphone.
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    Chapter 25 The Use of Single-Electrode Wireless EEG in Biobehavioral Investigations
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    Chapter 26 Smartphone Based Monitoring System for Long-Term Sleep Assessment
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    Chapter 27 Intracranial Ventricular Catheter Placement with a Smartphone Assisted Instrument
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    Chapter 28 High-Resolution Microendoscope for the Detection of Cervical Neoplasia
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    Chapter 29 Skin Lesions Image Analysis Utilizing Smartphones and Cloud Platforms
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    Chapter 30 Melanoma and other skin lesion detection using smart handheld devices.
Overall attention for this book and its chapters
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

1 news outlet
14 tweeters
1 patent
1 weibo user
1 Facebook page


11 Dimensions

Readers on

69 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.
Mobile Health Technologies
Published by
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2172-0
978-1-4939-2171-3, 978-1-4939-2172-0, 978-1-4939-4872-7

Avraham Rasooly, Keith E. Herold

Twitter Demographics

The data shown below were collected from the profiles of 14 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 1%
Unknown 68 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 16%
Researcher 9 13%
Student > Bachelor 8 12%
Student > Master 8 12%
Student > Doctoral Student 7 10%
Other 14 20%
Unknown 12 17%
Readers by discipline Count As %
Engineering 15 22%
Agricultural and Biological Sciences 12 17%
Chemistry 5 7%
Computer Science 5 7%
Biochemistry, Genetics and Molecular Biology 4 6%
Other 12 17%
Unknown 16 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 24 March 2020.
All research outputs
of 16,054,112 outputs
Outputs from Methods in molecular biology
of 9,312 outputs
Outputs of similar age
of 262,628 outputs
Outputs of similar age from Methods in molecular biology
of 21 outputs
Altmetric has tracked 16,054,112 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,312 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done particularly well, scoring higher than 98% 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 262,628 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 21 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 95% of its contemporaries.