The data shown below were collected from the profiles of 61 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
Title |
Rapid Geriatric Assessment Using Mobile App in Primary Care: Prevalence of Geriatric Syndromes and Review of Its Feasibility
|
---|---|
Published in |
Frontiers in Medicine, July 2020
|
DOI | 10.3389/fmed.2020.00261 |
Pubmed ID | |
Authors |
Reshma Aziz Merchant, Richard Jor Yeong Hui, Sing Cheer Kwek, Meena Sundram, Arthur Tay, Jerome Jayasundram, Matthew Zhixuan Chen, Shu Ee Ng, Li Feng Tan, John E. Morley |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 8% |
India | 1 | 2% |
Japan | 1 | 2% |
Chile | 1 | 2% |
Guadeloupe | 1 | 2% |
Spain | 1 | 2% |
Mexico | 1 | 2% |
Canada | 1 | 2% |
Malaysia | 1 | 2% |
Other | 5 | 8% |
Unknown | 43 | 70% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 39 | 64% |
Scientists | 11 | 18% |
Practitioners (doctors, other healthcare professionals) | 8 | 13% |
Science communicators (journalists, bloggers, editors) | 3 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 163 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 29 | 18% |
Other | 14 | 9% |
Researcher | 14 | 9% |
Student > Ph. D. Student | 9 | 6% |
Student > Bachelor | 7 | 4% |
Other | 21 | 13% |
Unknown | 69 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 29 | 18% |
Nursing and Health Professions | 17 | 10% |
Psychology | 8 | 5% |
Engineering | 6 | 4% |
Neuroscience | 5 | 3% |
Other | 25 | 15% |
Unknown | 73 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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 28 July 2024.
All research outputs
#1,192,805
of 26,538,386 outputs
Outputs from Frontiers in Medicine
#347
of 7,645 outputs
Outputs of similar age
#33,088
of 434,246 outputs
Outputs of similar age from Frontiers in Medicine
#19
of 184 outputs
Altmetric has tracked 26,538,386 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,645 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one has done particularly well, scoring higher than 95% 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 434,246 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 92% of its contemporaries.
We're also able to compare this research output to 184 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.