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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
  2. Altmetric Badge
    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
  31. Altmetric Badge
    Chapter 30 Melanoma and other skin lesion detection using smart handheld devices.
Attention for Chapter 22: Smartphone Attachment for Stethoscope Recording
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Mentioned by

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1 X user

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Chapter title
Smartphone Attachment for Stethoscope Recording
Chapter number 22
Book title
Mobile Health Technologies
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2172-0_22
Pubmed ID
Book ISBNs
978-1-4939-2171-3, 978-1-4939-2172-0
Authors

Jeff Thompson, Thompson, Jeff

Editors

Avraham Rasooly, Keith E. Herold

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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 29%
Student > Bachelor 6 21%
Student > Doctoral Student 2 7%
Researcher 2 7%
Student > Ph. D. Student 2 7%
Other 3 11%
Unknown 5 18%
Readers by discipline Count As %
Medicine and Dentistry 5 18%
Engineering 4 14%
Nursing and Health Professions 2 7%
Psychology 2 7%
Social Sciences 2 7%
Other 9 32%
Unknown 4 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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
#21,275,730
of 25,998,826 outputs
Outputs from Methods in molecular biology
#9,241
of 14,428 outputs
Outputs of similar age
#274,011
of 365,136 outputs
Outputs of similar age from Methods in molecular biology
#529
of 1,012 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,428 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 365,136 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,012 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.