Title |
Association of polypharmacy and hyperpolypharmacy with frailty states: a systematic review and meta-analysis
|
---|---|
Published in |
European Geriatric Medicine, November 2018
|
DOI | 10.1007/s41999-018-0124-5 |
Pubmed ID | |
Authors |
Katie Palmer, Emanuele R. Villani, Davide L. Vetrano, Antonio Cherubini, Alfonso J. Cruz-Jentoft, Denis Curtin, Michael Denkinger, Marta Gutiérrez-Valencia, Adalsteinn Guðmundsson, Wilma Knol, Diane V. Mak, Denis O’Mahony, Farhad Pazan, Mirko Petrovic, Chakravarthi Rajkumar, Eva Topinkova, Catarina Trevisan, Tischa J. M. van der Cammen, Rob J. van Marum, Martin Wehling, Gijsbertus Ziere, Roberto Bernabei, Graziano Onder |
X Demographics
The data shown below were collected from the profiles of 84 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 Kingdom | 15 | 18% |
Spain | 14 | 17% |
Canada | 4 | 5% |
Australia | 3 | 4% |
United States | 3 | 4% |
Italy | 3 | 4% |
Peru | 2 | 2% |
Chile | 2 | 2% |
Sweden | 1 | 1% |
Other | 5 | 6% |
Unknown | 32 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 46 | 55% |
Practitioners (doctors, other healthcare professionals) | 21 | 25% |
Scientists | 17 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 100 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 13% |
Student > Doctoral Student | 8 | 8% |
Student > Bachelor | 7 | 7% |
Researcher | 6 | 6% |
Student > Master | 6 | 6% |
Other | 19 | 19% |
Unknown | 41 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 30 | 30% |
Pharmacology, Toxicology and Pharmaceutical Science | 11 | 11% |
Nursing and Health Professions | 7 | 7% |
Biochemistry, Genetics and Molecular Biology | 2 | 2% |
Social Sciences | 2 | 2% |
Other | 5 | 5% |
Unknown | 43 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 53. 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 21 November 2019.
All research outputs
#811,765
of 26,017,215 outputs
Outputs from European Geriatric Medicine
#17
of 916 outputs
Outputs of similar age
#17,552
of 369,311 outputs
Outputs of similar age from European Geriatric Medicine
#1
of 34 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 916 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done particularly well, scoring higher than 98% 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 369,311 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.