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X Demographics
Mendeley readers
Attention Score in Context
| Title |
UltraTrack: Software for semi-automated tracking of muscle fascicles in sequences of B-mode ultrasound images
|
|---|---|
| Published in |
Computer Methods & Programs in Biomedicine, March 2016
|
| DOI | 10.1016/j.cmpb.2016.02.016 |
| Pubmed ID | |
| Authors |
Dominic James Farris, Glen A. Lichtwark |
| Abstract |
Dynamic measurements of human muscle fascicle length from sequences of B-mode ultrasound images have become increasingly prevalent in biomedical research. Manual digitisation of these images is time consuming and algorithms for automating the process have been developed. Here we present a freely available software implementation of a previously validated algorithm for semi-automated tracking of muscle fascicle length in dynamic ultrasound image recordings, "UltraTrack". UltraTrack implements an affine extension to an optic flow algorithm to track movement of the muscle fascicle end-points throughout dynamically recorded sequences of images. The underlying algorithm has been previously described and its reliability tested, but here we present the software implementation with features for: tracking multiple fascicles in multiple muscles simultaneously; correcting temporal drift in measurements; manually adjusting tracking results; saving and re-loading of tracking results and loading a range of file formats. Two example runs of the software are presented detailing the tracking of fascicles from several lower limb muscles during a squatting and walking activity. We have presented a software implementation of a validated fascicle-tracking algorithm and made the source code and standalone versions freely available for download. |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 3 | 20% |
| Netherlands | 1 | 7% |
| Sweden | 1 | 7% |
| Norway | 1 | 7% |
| Belgium | 1 | 7% |
| United States | 1 | 7% |
| New Zealand | 1 | 7% |
| United Kingdom | 1 | 7% |
| Bolivia, Plurinational State of | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 73% |
| Members of the public | 3 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 170 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 20% |
| Student > Master | 32 | 19% |
| Researcher | 22 | 13% |
| Student > Bachelor | 12 | 7% |
| Student > Doctoral Student | 9 | 5% |
| Other | 24 | 14% |
| Unknown | 38 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 36 | 21% |
| Engineering | 33 | 19% |
| Medicine and Dentistry | 13 | 8% |
| Nursing and Health Professions | 12 | 7% |
| Agricultural and Biological Sciences | 6 | 3% |
| Other | 19 | 11% |
| Unknown | 53 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 27 June 2022.
All research outputs
#3,081,120
of 25,374,917 outputs
Outputs from Computer Methods & Programs in Biomedicine
#62
of 2,058 outputs
Outputs of similar age
#46,557
of 312,879 outputs
Outputs of similar age from Computer Methods & Programs in Biomedicine
#3
of 38 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,058 research outputs from this source. They receive a mean Attention Score of 3.3. 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 312,879 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 85% of its contemporaries.
We're also able to compare this research output to 38 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 92% of its contemporaries.