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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The descriptive epidemiology of delirium symptoms in a large population-based cohort study: results from the Medical Research Council Cognitive Function and Ageing Study (MRC CFAS)
|
|---|---|
| Published in |
BMC Geriatrics, July 2014
|
| DOI | 10.1186/1471-2318-14-87 |
| Pubmed ID | |
| Authors |
Daniel HJ Davis, Linda E Barnes, Blossom CM Stephan, Alasdair MJ MacLullich, David Meagher, John Copeland, Fiona E Matthews, Carol Brayne |
| Abstract |
In the general population, the epidemiological relationships between delirium and adverse outcomes are not well defined. The aims of this study were to: (1) construct an algorithm for the diagnosis of delirium using the Geriatric Mental State (GMS) examination; (2) test the criterion validity of this algorithm against mortality and dementia risk; (3) report the age-specific prevalence of delirium as determined by this algorithm. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 4 | 57% |
| United States | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 43% |
| Scientists | 3 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 4% |
| Korea, Republic of | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 76 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 20% |
| Researcher | 12 | 15% |
| Student > Bachelor | 8 | 10% |
| Student > Doctoral Student | 7 | 9% |
| Student > Ph. D. Student | 6 | 7% |
| Other | 20 | 25% |
| Unknown | 12 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 38% |
| Psychology | 10 | 12% |
| Nursing and Health Professions | 9 | 11% |
| Computer Science | 3 | 4% |
| Sports and Recreations | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 20 | 25% |
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 17 March 2021.
All research outputs
#7,908,022
of 25,402,889 outputs
Outputs from BMC Geriatrics
#1,943
of 3,649 outputs
Outputs of similar age
#70,623
of 239,819 outputs
Outputs of similar age from BMC Geriatrics
#7
of 25 outputs
Altmetric has tracked 25,402,889 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 3,649 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 46th percentile – i.e., 46% 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 239,819 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 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.