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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Feasibility of Digital Memory Assessments in an Unsupervised and Remote Study Setting
|
|---|---|
| Published in |
Frontiers in Digital Health, May 2022
|
| DOI | 10.3389/fdgth.2022.892997 |
| Pubmed ID | |
| Authors |
David Berron, Gabriel Ziegler, Paula Vieweg, Ornella Billette, Jeremie Güsten, Xenia Grande, Michael T. Heneka, Anja Schneider, Stefan Teipel, Frank Jessen, Michael Wagner, Emrah Düzel |
X Demographics
The data shown below were collected from the profiles of 15 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 States | 3 | 20% |
| United Kingdom | 2 | 13% |
| Germany | 2 | 13% |
| Nigeria | 1 | 7% |
| Sweden | 1 | 7% |
| Denmark | 1 | 7% |
| Unknown | 5 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 67% |
| Scientists | 5 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 25% |
| Researcher | 4 | 20% |
| Student > Doctoral Student | 1 | 5% |
| Student > Master | 1 | 5% |
| Unknown | 9 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 15% |
| Neuroscience | 2 | 10% |
| Psychology | 2 | 10% |
| Nursing and Health Professions | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 05 July 2023.
All research outputs
#1,955,647
of 24,010,679 outputs
Outputs from Frontiers in Digital Health
#53
of 661 outputs
Outputs of similar age
#43,569
of 428,623 outputs
Outputs of similar age from Frontiers in Digital Health
#9
of 65 outputs
Altmetric has tracked 24,010,679 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 661 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 particularly well, scoring higher than 92% 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 428,623 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 89% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.