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Clinical map document based on XML (cMDX): document architecture with mapping feature for reporting and analysing prostate cancer in radical prostatectomy specimens

Overview of attention for article published in BMC Medical Informatics and Decision Making, November 2010
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Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
57 Mendeley
citeulike
1 CiteULike
Title
Clinical map document based on XML (cMDX): document architecture with mapping feature for reporting and analysing prostate cancer in radical prostatectomy specimens
Published in
BMC Medical Informatics and Decision Making, November 2010
DOI 10.1186/1472-6947-10-71
Pubmed ID
Authors

Okyaz Eminaga, Reemt Hinkelammert, Axel Semjonow, Joerg Neumann, Mahmoud Abbas, Thomas Koepke, Olaf Bettendorf, Elke Eltze, Martin Dugas

Abstract

The pathology report of radical prostatectomy specimens plays an important role in clinical decisions and the prognostic evaluation in Prostate Cancer (PCa). The anatomical schema is a helpful tool to document PCa extension for clinical and research purposes. To achieve electronic documentation and analysis, an appropriate documentation model for anatomical schemas is needed. For this purpose we developed cMDX.

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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Canada 1 2%
Unknown 55 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 7%
Researcher 4 7%
Other 3 5%
Student > Master 3 5%
Professor 2 4%
Other 4 7%
Unknown 37 65%
Readers by discipline Count As %
Medicine and Dentistry 11 19%
Computer Science 4 7%
Immunology and Microbiology 1 2%
Nursing and Health Professions 1 2%
Engineering 1 2%
Other 0 0%
Unknown 39 68%

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 22 December 2012.
All research outputs
#6,724,992
of 12,409,138 outputs
Outputs from BMC Medical Informatics and Decision Making
#580
of 1,122 outputs
Outputs of similar age
#6,494,768
of 11,826,572 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#579
of 1,121 outputs
Altmetric has tracked 12,409,138 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 1,122 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 45th percentile – i.e., 45% 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 11,826,572 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,121 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.