| Title |
Computerised cognitive training for maintaining cognitive function in cognitively healthy people in late life
|
|---|---|
| Published in |
Cochrane database of systematic reviews, March 2019
|
| DOI | 10.1002/14651858.cd012277.pub2 |
| Pubmed ID | |
| Authors |
Nicola J Gates, Anne WS Rutjes, Marcello Di Nisio, Salman Karim, Lee-Yee Chong, Evrim March, Gabriel Martínez, Robin WM Vernooij |
Twitter Demographics
The data shown below were collected from the profiles of 75 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 23 | 31% |
| United Kingdom | 6 | 8% |
| Chile | 5 | 7% |
| United States | 2 | 3% |
| Venezuela, Bolivarian Republic of | 1 | 1% |
| Canada | 1 | 1% |
| Mexico | 1 | 1% |
| New Zealand | 1 | 1% |
| Poland | 1 | 1% |
| Other | 6 | 8% |
| Unknown | 28 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 60 | 80% |
| Scientists | 8 | 11% |
| Practitioners (doctors, other healthcare professionals) | 7 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 347 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 347 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 49 | 14% |
| Student > Ph. D. Student | 37 | 11% |
| Student > Bachelor | 33 | 10% |
| Researcher | 28 | 8% |
| Student > Doctoral Student | 23 | 7% |
| Other | 57 | 16% |
| Unknown | 120 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 44 | 13% |
| Medicine and Dentistry | 40 | 12% |
| Nursing and Health Professions | 37 | 11% |
| Neuroscience | 23 | 7% |
| Computer Science | 15 | 4% |
| Other | 50 | 14% |
| Unknown | 138 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 62. 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 April 2021.
All research outputs
#653,437
of 24,520,935 outputs
Outputs from Cochrane database of systematic reviews
#1,253
of 12,933 outputs
Outputs of similar age
#15,550
of 356,570 outputs
Outputs of similar age from Cochrane database of systematic reviews
#28
of 191 outputs
Altmetric has tracked 24,520,935 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,933 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.7. This one has done particularly well, scoring higher than 90% 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 356,570 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 191 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.