| Title |
Selecting Remote Measurement Technologies to Optimize Assessment of Function in Early Alzheimer's Disease: A Case Study
|
|---|---|
| Published in |
Frontiers in Psychiatry, November 2020
|
| DOI | 10.3389/fpsyt.2020.582207 |
| Pubmed ID | |
| Authors |
Andrew P. Owens, Chris Hinds, Nikolay V. Manyakov, Thanos G. Stavropoulos, Grace Lavelle, Dianne Gove, Ana Diaz-Ponce, Dag Aarsland |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 25% |
| Switzerland | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 123 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 14 | 11% |
| Student > Master | 11 | 9% |
| Student > Ph. D. Student | 10 | 8% |
| Researcher | 9 | 7% |
| Other | 7 | 6% |
| Other | 17 | 14% |
| Unknown | 55 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 11% |
| Nursing and Health Professions | 11 | 9% |
| Psychology | 10 | 8% |
| Neuroscience | 5 | 4% |
| Computer Science | 5 | 4% |
| Other | 16 | 13% |
| Unknown | 62 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 09 September 2021.
All research outputs
#2,718,680
of 23,248,929 outputs
Outputs from Frontiers in Psychiatry
#1,443
of 10,376 outputs
Outputs of similar age
#70,960
of 420,669 outputs
Outputs of similar age from Frontiers in Psychiatry
#80
of 465 outputs
Altmetric has tracked 23,248,929 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,376 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 85% 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 420,669 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 465 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.