| Title |
Recording and Reenactment of Collaborative Diagnosis Sessions using DICOM
|
|---|---|
| Published in |
Journal of Digital Imaging, May 2008
|
| DOI | 10.1007/s10278-008-9130-3 |
| Pubmed ID | |
| Authors |
Aldo von Wangenheim, Martin Prüsse, Rafael Simon Maia, Daniel Duarte Abdala, André Germano Regert, Luiz Felipe de Souza Nobre, Eros Comunello |
| Abstract |
This paper presents a radiological collaborative tool capable of direct manipulation of Digital Imaging and Communications in Medicine (DICOM) images on both sides, and also recording and reenacting of a recorded session. A special collaborative application protocol formerly developed was extended and used as basis for the development of collaborative session recording and playback processes. The protocol is used today for real-time radiological meetings through the Internet. This new standard for collaborative sessions makes possible other uses for the protocol, such as asynchronous collaborative sessions, decision regulation, auditing, and educational applications. Experimental results are given which compare this protocol with other popular collaborative approaches. Comparison of these results shows that the proposed protocol performs much better than other approaches when run under controlled conditions. |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 6% |
| Unknown | 15 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 25% |
| Student > Doctoral Student | 3 | 19% |
| Student > Ph. D. Student | 2 | 13% |
| Student > Bachelor | 1 | 6% |
| Lecturer | 1 | 6% |
| Other | 3 | 19% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 25% |
| Engineering | 3 | 19% |
| Nursing and Health Professions | 2 | 13% |
| Agricultural and Biological Sciences | 1 | 6% |
| Psychology | 1 | 6% |
| Other | 3 | 19% |
| Unknown | 2 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 22 August 2017.
All research outputs
#7,185,611
of 22,712,476 outputs
Outputs from Journal of Digital Imaging
#318
of 1,045 outputs
Outputs of similar age
#27,973
of 82,724 outputs
Outputs of similar age from Journal of Digital Imaging
#1
of 3 outputs
Altmetric has tracked 22,712,476 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,045 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 68% 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 82,724 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 65% of its contemporaries.
We're also able to compare this research output to 3 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