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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
An Algorithm for Accurate Marker-Based Gait Event Detection in Healthy and Pathological Populations During Complex Motor Tasks
|
---|---|
Published in |
Frontiers in Bioengineering and Biotechnology, June 2022
|
DOI | 10.3389/fbioe.2022.868928 |
Pubmed ID | |
Authors |
Tecla Bonci, Francesca Salis, Kirsty Scott, Lisa Alcock, Clemens Becker, Stefano Bertuletti, Ellen Buckley, Marco Caruso, Andrea Cereatti, Silvia Del Din, Eran Gazit, Clint Hansen, Jeffrey M. Hausdorff, Walter Maetzler, Luca Palmerini, Lynn Rochester, Lars Schwickert, Basil Sharrack, Ioannis Vogiatzis, Claudia Mazzà |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 26% |
Norway | 2 | 11% |
Switzerland | 1 | 5% |
Unknown | 11 | 58% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 63% |
Scientists | 6 | 32% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 51 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 16% |
Unspecified | 6 | 12% |
Student > Ph. D. Student | 4 | 8% |
Other | 2 | 4% |
Student > Postgraduate | 2 | 4% |
Other | 2 | 4% |
Unknown | 27 | 53% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 6 | 12% |
Engineering | 6 | 12% |
Medicine and Dentistry | 4 | 8% |
Computer Science | 2 | 4% |
Neuroscience | 2 | 4% |
Other | 2 | 4% |
Unknown | 29 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 20 June 2022.
All research outputs
#2,600,038
of 25,278,281 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#326
of 8,381 outputs
Outputs of similar age
#55,632
of 437,035 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#10
of 606 outputs
Altmetric has tracked 25,278,281 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,381 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 96% 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 437,035 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 87% of its contemporaries.
We're also able to compare this research output to 606 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.