↓ Skip to main content

Adhoc electromagnetic compatibility testing of non-implantable medical devices and radio frequency identification

Overview of attention for article published in BioMedical Engineering OnLine, July 2013
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
2 tweeters
facebook
3 Facebook pages

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
26 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
Adhoc electromagnetic compatibility testing of non-implantable medical devices and radio frequency identification
Published in
BioMedical Engineering OnLine, July 2013
DOI 10.1186/1475-925x-12-71
Pubmed ID
Authors

Seth J Seidman, Joshua W Guag

Abstract

The use of radiofrequency identification (RFID) in healthcare is increasing and concerns for electromagnetic compatibility (EMC) pose one of the biggest obstacles for widespread adoption. Numerous studies have documented that RFID can interfere with medical devices. The majority of past studies have concentrated on implantable medical devices such as implantable pacemakers and implantable cardioverter defibrillators (ICDs). This study examined EMC between RFID systems and non-implantable medical devices.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Taiwan 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Student > Bachelor 4 15%
Student > Postgraduate 3 12%
Student > Doctoral Student 3 12%
Student > Ph. D. Student 3 12%
Other 4 15%
Unknown 4 15%
Readers by discipline Count As %
Engineering 7 27%
Computer Science 3 12%
Business, Management and Accounting 2 8%
Medicine and Dentistry 2 8%
Agricultural and Biological Sciences 1 4%
Other 4 15%
Unknown 7 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 December 2016.
All research outputs
#9,587,854
of 17,391,055 outputs
Outputs from BioMedical Engineering OnLine
#255
of 701 outputs
Outputs of similar age
#75,384
of 164,067 outputs
Outputs of similar age from BioMedical Engineering OnLine
#2
of 9 outputs
Altmetric has tracked 17,391,055 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 701 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 63% 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 164,067 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.