| Title |
Early intervention in Alzheimer’s disease: a health economic study of the effects of diagnostic timing
|
|---|---|
| Published in |
BMC Neurology, May 2014
|
| DOI | 10.1186/1471-2377-14-101 |
| Pubmed ID | |
| Authors |
Jennifer H Barnett, Lily Lewis, Andrew D Blackwell, Matthew Taylor |
| Abstract |
Intervention and treatment in Alzheimer's disease dementia (AD-dementia) can be cost effective but the majority of patients are not diagnosed in a timely manner. Technology is now available that can enable the earlier detection of cognitive loss associated with incipient dementia, offering the potential for earlier intervention in the UK health care system. This study aimed to determine to what extent the timing of an intervention affects its cost-effectiveness. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 3 | 33% |
| United Kingdom | 1 | 11% |
| Saudi Arabia | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 1 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Argentina | 1 | <1% |
| Unknown | 202 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 18% |
| Researcher | 31 | 15% |
| Student > Master | 25 | 12% |
| Student > Bachelor | 20 | 10% |
| Student > Doctoral Student | 15 | 7% |
| Other | 30 | 15% |
| Unknown | 46 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 36 | 18% |
| Neuroscience | 25 | 12% |
| Psychology | 18 | 9% |
| Agricultural and Biological Sciences | 14 | 7% |
| Engineering | 10 | 5% |
| Other | 49 | 24% |
| Unknown | 52 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 18 September 2020.
All research outputs
#1,233,184
of 22,755,127 outputs
Outputs from BMC Neurology
#78
of 2,427 outputs
Outputs of similar age
#13,206
of 227,501 outputs
Outputs of similar age from BMC Neurology
#2
of 72 outputs
Altmetric has tracked 22,755,127 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,427 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done particularly well, scoring higher than 96% 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 227,501 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 94% of its contemporaries.
We're also able to compare this research output to 72 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.