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X Demographics
Mendeley readers
Attention Score in Context
Title |
Appraisal of the Karnofsky Performance Status and proposal of a simple algorithmic system for its evaluation
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, July 2013
|
DOI | 10.1186/1472-6947-13-72 |
Pubmed ID | |
Authors |
Dominik Péus, Nicolas Newcomb, Silvia Hofer |
Abstract |
For over 60 years, the Karnofsky Performance Status (KPS) has proven itself a valuable tool with which to perform measurement of and comparison between the functional statuses of individual patients. In recent decades conditions for patients have changed, and so too has the KPS undergone several adjustments since its initial development. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 488 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | <1% |
Brazil | 1 | <1% |
Sweden | 1 | <1% |
United Kingdom | 1 | <1% |
Peru | 1 | <1% |
Poland | 1 | <1% |
Unknown | 482 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 60 | 12% |
Student > Master | 58 | 12% |
Student > Doctoral Student | 40 | 8% |
Researcher | 39 | 8% |
Student > Postgraduate | 38 | 8% |
Other | 96 | 20% |
Unknown | 157 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 194 | 40% |
Nursing and Health Professions | 31 | 6% |
Biochemistry, Genetics and Molecular Biology | 13 | 3% |
Agricultural and Biological Sciences | 13 | 3% |
Neuroscience | 13 | 3% |
Other | 47 | 10% |
Unknown | 177 | 36% |
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 01 July 2020.
All research outputs
#6,392,943
of 22,715,151 outputs
Outputs from BMC Medical Informatics and Decision Making
#613
of 1,982 outputs
Outputs of similar age
#54,570
of 196,949 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#16
of 37 outputs
Altmetric has tracked 22,715,151 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,982 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 67% 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 196,949 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 70% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.