↓ Skip to main content

Data mining of audiology patient records: factors influencing the choice of hearing aid type

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
51 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
Data mining of audiology patient records: factors influencing the choice of hearing aid type
Published in
BMC Medical Informatics and Decision Making, April 2012
DOI 10.1186/1472-6947-12-s1-s6
Pubmed ID
Authors

Muhammad N Anwar, Michael P Oakes

Abstract

This paper describes the analysis of a database of over 180,000 patient records, collected from over 23,000 patients, by the hearing aid clinic at James Cook University Hospital in Middlesbrough, UK. These records consist of audiograms (graphs of the faintest sounds audible to the patient at six different pitches), categorical data (such as age, gender, diagnosis and hearing aid type) and brief free text notes made by the technicians. This data is mined to determine which factors contribute to the decision to fit a BTE (worn behind the ear) hearing aid as opposed to an ITE (worn in the ear) hearing aid.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 25%
Student > Ph. D. Student 12 24%
Researcher 6 12%
Lecturer 2 4%
Professor > Associate Professor 2 4%
Other 3 6%
Unknown 13 25%
Readers by discipline Count As %
Medicine and Dentistry 10 20%
Computer Science 8 16%
Nursing and Health Professions 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Psychology 2 4%
Other 9 18%
Unknown 15 29%
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 06 May 2012.
All research outputs
#14,143,926
of 22,664,644 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,101
of 1,978 outputs
Outputs of similar age
#95,819
of 162,569 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#24
of 40 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 38th percentile – i.e., 38% 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 162,569 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.