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X Demographics
Mendeley readers
Attention Score in Context
Title |
HIS-based electronic documentation can significantly reduce the time from biopsy to final report for prostate tumours and supports quality management as well as clinical research
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Published in |
BMC Medical Informatics and Decision Making, January 2009
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DOI | 10.1186/1472-6947-9-5 |
Pubmed ID | |
Authors |
Bernhard Breil, Axel Semjonow, Martin Dugas |
Abstract |
Timely and accurate information is important to guide the medical treatment process. We developed, implemented and assessed an order-entry system to support documentation of prostate histologies involving urologists, pathologists and physicians in private practice. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Indonesia | 1 | 4% |
Lithuania | 1 | 4% |
Netherlands | 1 | 4% |
South Africa | 1 | 4% |
Unknown | 21 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 32% |
Student > Ph. D. Student | 4 | 16% |
Student > Master | 4 | 16% |
Student > Postgraduate | 3 | 12% |
Student > Doctoral Student | 1 | 4% |
Other | 2 | 8% |
Unknown | 3 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 36% |
Medicine and Dentistry | 5 | 20% |
Business, Management and Accounting | 3 | 12% |
Economics, Econometrics and Finance | 2 | 8% |
Nursing and Health Professions | 1 | 4% |
Other | 0 | 0% |
Unknown | 5 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 27 March 2014.
All research outputs
#18,369,403
of 22,751,628 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,567
of 1,985 outputs
Outputs of similar age
#158,648
of 170,233 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#10
of 12 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% 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 170,233 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.