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Mendeley readers
Attention Score in Context
| Title |
Integrating Patient Digital Photographs with Medical Imaging Examinations
|
|---|---|
| Published in |
Journal of Imaging Informatics in Medicine, February 2013
|
| DOI | 10.1007/s10278-013-9579-6 |
| Pubmed ID | |
| Authors |
Senthil Ramamurthy, Pamela Bhatti, Chesnal D. Arepalli, Mohamed Salama, James M. Provenzale, Srini Tridandapani |
| Abstract |
We introduce the concept, benefits, and general architecture for acquiring, storing, and displaying digital photographs along with medical imaging examinations. We also discuss a specific implementation built around an Android-based system for simultaneously acquiring digital photographs along with portable radiographs. By an innovative application of radiofrequency identification technology to radiographic cassettes, the system is able to maintain a tight relationship between these photographs and the radiographs within the picture archiving and communications system (PACS) environment. We provide a cost analysis demonstrating the economic feasibility of this technology. Since our architecture naturally integrates with patient identification methods, we also address patient privacy issues. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 5 | 71% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Practitioners (doctors, other healthcare professionals) | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 16% |
| Student > Master | 6 | 16% |
| Other | 5 | 14% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Other | 7 | 19% |
| Unknown | 6 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 43% |
| Engineering | 6 | 16% |
| Computer Science | 2 | 5% |
| Social Sciences | 2 | 5% |
| Nursing and Health Professions | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 6 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 05 December 2023.
All research outputs
#3,366,069
of 25,628,260 outputs
Outputs from Journal of Imaging Informatics in Medicine
#11
of 121 outputs
Outputs of similar age
#33,968
of 297,867 outputs
Outputs of similar age from Journal of Imaging Informatics in Medicine
#1
of 1 outputs
Altmetric has tracked 25,628,260 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 121 research outputs from this source. They receive a mean Attention Score of 4.5. 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 297,867 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 88% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them