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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Security and Privacy Qualities of Medical Devices: An Analysis of FDA Postmarket Surveillance
|
|---|---|
| Published in |
PLOS ONE, July 2012
|
| DOI | 10.1371/journal.pone.0040200 |
| Pubmed ID | |
| Authors |
Daniel B. Kramer, Matthew Baker, Benjamin Ransford, Andres Molina-Markham, Quinn Stewart, Kevin Fu, Matthew R. Reynolds |
| Abstract |
Medical devices increasingly depend on computing functions such as wireless communication and Internet connectivity for software-based control of therapies and network-based transmission of patients' stored medical information. These computing capabilities introduce security and privacy risks, yet little is known about the prevalence of such risks within the clinical setting. |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 21% |
| India | 2 | 14% |
| Chile | 1 | 7% |
| Isle of Man | 1 | 7% |
| Switzerland | 1 | 7% |
| Unknown | 6 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 71% |
| Scientists | 2 | 14% |
| Practitioners (doctors, other healthcare professionals) | 2 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Portugal | 1 | 1% |
| South Africa | 1 | 1% |
| Unknown | 91 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 17% |
| Researcher | 15 | 16% |
| Student > Bachelor | 12 | 13% |
| Student > Ph. D. Student | 9 | 9% |
| Student > Doctoral Student | 8 | 8% |
| Other | 21 | 22% |
| Unknown | 15 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 23 | 24% |
| Medicine and Dentistry | 16 | 17% |
| Engineering | 15 | 16% |
| Agricultural and Biological Sciences | 7 | 7% |
| Nursing and Health Professions | 5 | 5% |
| Other | 12 | 13% |
| Unknown | 18 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 04 April 2019.
All research outputs
#1,726,850
of 25,795,662 outputs
Outputs from PLOS ONE
#21,077
of 224,881 outputs
Outputs of similar age
#9,914
of 178,879 outputs
Outputs of similar age from PLOS ONE
#314
of 4,015 outputs
Altmetric has tracked 25,795,662 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 224,881 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 90% 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 178,879 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 94% of its contemporaries.
We're also able to compare this research output to 4,015 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 92% of its contemporaries.