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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A multi-sensor wearable system for the assessment of diseased gait in real-world conditions
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, April 2023
|
| DOI | 10.3389/fbioe.2023.1143248 |
| Pubmed ID | |
| Authors |
Francesca Salis, Stefano Bertuletti, Tecla Bonci, Marco Caruso, Kirsty Scott, Lisa Alcock, Ellen Buckley, Eran Gazit, Clint Hansen, Lars Schwickert, Kamiar Aminian, Clemens Becker, Philip Brown, Anne-Elie Carsin, Brian Caulfield, Lorenzo Chiari, Ilaria D'Ascanio, Silvia Del Din, Bjoern M Eskofier, Judith Garcia-Aymerich, Jeffrey M Hausdorff, Emily C Hume, Cameron Kirk, Felix Kluge, Sarah Koch, Arne Kuederle, Walter Maetzler, Encarna M Micó-Amigo, Arne Mueller, Isabel Neatrour, Anisoara Paraschiv-Ionescu, Luca Palmerini, Alison J Yarnall, Lynn Rochester, Basil Sharrack, David Singleton, Beatrix Vereijken, Ioannis Vogiatzis, Ugo Della Croce, Claudia Mazzà, Andrea Cereatti, For The Mobilise-D Consortium |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 17% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Bachelor | 3 | 9% |
| Professor | 2 | 6% |
| Other | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 16 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 14% |
| Nursing and Health Professions | 4 | 11% |
| Computer Science | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Unspecified | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 19 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 June 2023.
All research outputs
#18,699,725
of 23,857,313 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,126
of 7,451 outputs
Outputs of similar age
#258,700
of 376,701 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#101
of 474 outputs
Altmetric has tracked 23,857,313 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,451 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 50% 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 376,701 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 474 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 73% of its contemporaries.