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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Myofibre segmentation in H&E stained adult skeletal muscle images using coherence-enhancing diffusion filtering
|
|---|---|
| Published in |
BMC Medical Imaging, October 2014
|
| DOI | 10.1186/1471-2342-14-38 |
| Pubmed ID | |
| Authors |
Harry Strange, Ian Scott, Reyer Zwiggelaar |
| Abstract |
The correct segmentation of myofibres in histological muscle biopsy images is a critical step in the automatic analysis process. Errors occurring as a result of incorrect segmentations have a compounding effect on latter morphometric analysis and as such it is vital that the fibres are correctly segmented. This paper presents a new automatic approach to myofibre segmentation in H&E stained adult skeletal muscle images that is based on Coherence-Enhancing Diffusion filtering. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 13% |
| Brazil | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 17% |
| Professor > Associate Professor | 3 | 13% |
| Researcher | 3 | 13% |
| Student > Bachelor | 2 | 9% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 8 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 17% |
| Neuroscience | 3 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Agricultural and Biological Sciences | 2 | 9% |
| Nursing and Health Professions | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 8 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 05 May 2015.
All research outputs
#6,137,513
of 22,768,097 outputs
Outputs from BMC Medical Imaging
#71
of 594 outputs
Outputs of similar age
#67,394
of 260,656 outputs
Outputs of similar age from BMC Medical Imaging
#4
of 8 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 594 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 87% 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 260,656 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 73% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.