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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A remote digital memory composite to detect cognitive impairment in memory clinic samples in unsupervised settings using mobile devices
|
|---|---|
| Published in |
npj Digital Medicine, March 2024
|
| DOI | 10.1038/s41746-024-00999-9 |
| Pubmed ID | |
| Authors |
David Berron, Wenzel Glanz, Lindsay Clark, Kristin Basche, Xenia Grande, Jeremie Güsten, Ornella V. Billette, Ina Hempen, Muhammad Hashim Naveed, Nadine Diersch, Michaela Butryn, Annika Spottke, Katharina Buerger, Robert Perneczky, Anja Schneider, Stefan Teipel, Jens Wiltfang, Sterling Johnson, Michael Wagner, Frank Jessen, Emrah Düzel |
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 % |
|---|---|---|
| Mexico | 1 | 11% |
| France | 1 | 11% |
| Germany | 1 | 11% |
| United States | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 1 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 67% |
| Professor | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 67% |
| Neuroscience | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 261. 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 25 April 2024.
All research outputs
#142,799
of 25,782,917 outputs
Outputs from npj Digital Medicine
#44
of 1,033 outputs
Outputs of similar age
#1,431
of 257,201 outputs
Outputs of similar age from npj Digital Medicine
#1
of 69 outputs
Altmetric has tracked 25,782,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,033 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.9. This one has done particularly well, scoring higher than 95% 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 257,201 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 99% of its contemporaries.
We're also able to compare this research output to 69 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 98% of its contemporaries.