The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quality of a Supporting Mobile App for Rheumatic Patients: Patient-Based Assessment Using the User Version of the Mobile Application Scale (uMARS)
|
|---|---|
| Published in |
Frontiers in Medicine, July 2021
|
| DOI | 10.3389/fmed.2021.715345 |
| Pubmed ID | |
| Authors |
Antonia Lambrecht, Nicolas Vuillerme, Christina Raab, David Simon, Eva-Maria Messner, Melanie Hagen, Sara Bayat, Arnd Kleyer, Timothée Aubourg, Georg Schett, Axel Hueber, Johannes Knitza |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 20% |
| Switzerland | 1 | 20% |
| Germany | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 12% |
| Lecturer | 5 | 12% |
| Student > Bachelor | 3 | 7% |
| Professor > Associate Professor | 2 | 5% |
| Student > Doctoral Student | 1 | 2% |
| Other | 6 | 15% |
| Unknown | 19 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 15% |
| Computer Science | 5 | 12% |
| Nursing and Health Professions | 3 | 7% |
| Agricultural and Biological Sciences | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 19 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 28 July 2021.
All research outputs
#6,569,589
of 23,310,485 outputs
Outputs from Frontiers in Medicine
#1,540
of 5,969 outputs
Outputs of similar age
#135,871
of 437,839 outputs
Outputs of similar age from Frontiers in Medicine
#109
of 406 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 5,969 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has gotten more attention than average, scoring higher than 74% 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 437,839 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 406 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.