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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Tibial Acceleration-Based Prediction of Maximal Vertical Loading Rate During Overground Running: A Machine Learning Approach
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, February 2020
|
| DOI | 10.3389/fbioe.2020.00033 |
| Pubmed ID | |
| Authors |
Rud Derie, Pieter Robberechts, Pieter Van den Berghe, Joeri Gerlo, Dirk De Clercq, Veerle Segers, Jesse Davis |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 6 | 55% |
| United States | 2 | 18% |
| Brazil | 1 | 9% |
| Switzerland | 1 | 9% |
| Unknown | 1 | 9% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 64% |
| Members of the public | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 17% |
| Student > Master | 10 | 12% |
| Researcher | 5 | 6% |
| Student > Bachelor | 5 | 6% |
| Unspecified | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 33 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 14 | 17% |
| Engineering | 10 | 12% |
| Unspecified | 4 | 5% |
| Medicine and Dentistry | 4 | 5% |
| Computer Science | 2 | 2% |
| Other | 7 | 9% |
| Unknown | 40 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 October 2020.
All research outputs
#4,454,245
of 24,969,131 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#613
of 8,178 outputs
Outputs of similar age
#96,049
of 462,404 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#44
of 260 outputs
Altmetric has tracked 24,969,131 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,178 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 92% 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 462,404 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 79% of its contemporaries.
We're also able to compare this research output to 260 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.