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The Effectiveness of Wearable Upper Limb Assistive Devices in Degenerative Neuromuscular Diseases: A Systematic Review and Meta-Analysis

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, January 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
6 X users

Citations

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24 Dimensions

Readers on

mendeley
64 Mendeley
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Title
The Effectiveness of Wearable Upper Limb Assistive Devices in Degenerative Neuromuscular Diseases: A Systematic Review and Meta-Analysis
Published in
Frontiers in Bioengineering and Biotechnology, January 2020
DOI 10.3389/fbioe.2019.00450
Pubmed ID
Authors

Marta Gandolla, Alberto Antonietti, Valeria Longatelli, Alessandra Pedrocchi

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Researcher 10 16%
Student > Master 8 13%
Student > Bachelor 4 6%
Librarian 2 3%
Other 5 8%
Unknown 23 36%
Readers by discipline Count As %
Engineering 17 27%
Nursing and Health Professions 4 6%
Computer Science 4 6%
Agricultural and Biological Sciences 2 3%
Neuroscience 2 3%
Other 6 9%
Unknown 29 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 July 2022.
All research outputs
#12,947,444
of 22,851,489 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,412
of 6,582 outputs
Outputs of similar age
#201,739
of 449,569 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#85
of 247 outputs
Altmetric has tracked 22,851,489 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,582 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 77% 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 449,569 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 54% of its contemporaries.
We're also able to compare this research output to 247 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 65% of its contemporaries.