You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modelling and identification of characteristic kinematic features preceding freezing of gait with convolutional neural networks and layer-wise relevance propagation
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2021
|
| DOI | 10.1186/s12911-021-01699-0 |
| Pubmed ID | |
| Authors |
Benjamin Filtjens, Pieter Ginis, Alice Nieuwboer, Muhammad Raheel Afzal, Joke Spildooren, Bart Vanrumste, Peter Slaets |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 8 | 16% |
| Student > Master | 6 | 12% |
| Student > Postgraduate | 3 | 6% |
| Researcher | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 22 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 8 | 16% |
| Engineering | 5 | 10% |
| Computer Science | 4 | 8% |
| Medicine and Dentistry | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 24 | 49% |
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 08 December 2021.
All research outputs
#20,147,309
of 22,653,392 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,794
of 1,978 outputs
Outputs of similar age
#404,793
of 495,987 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#47
of 60 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 495,987 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.