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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantifiable diagnosis of muscular dystrophies and neurogenic atrophies through network analysis
|
|---|---|
| Published in |
BMC Medicine, March 2013
|
| DOI | 10.1186/1741-7015-11-77 |
| Pubmed ID | |
| Authors |
Aurora Sáez, Eloy Rivas, Adoración Montero-Sánchez, Carmen Paradas, Begoña Acha, Alberto Pascual, Carmen Serrano, Luis M Escudero |
| Abstract |
The diagnosis of neuromuscular diseases is strongly based on the histological characterization of muscle biopsies. However, this morphological analysis is mostly a subjective process and difficult to quantify. We have tested if network science can provide a novel framework to extract useful information from muscle biopsies, developing a novel method that analyzes muscle samples in an objective, automated, fast and precise manner. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 50% |
| Spain | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 24% |
| Researcher | 9 | 24% |
| Student > Master | 6 | 16% |
| Other | 4 | 11% |
| Professor | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 19% |
| Computer Science | 6 | 16% |
| Medicine and Dentistry | 6 | 16% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Engineering | 4 | 11% |
| Other | 6 | 16% |
| Unknown | 4 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 July 2023.
All research outputs
#2,639,754
of 24,293,076 outputs
Outputs from BMC Medicine
#1,687
of 3,730 outputs
Outputs of similar age
#21,703
of 200,754 outputs
Outputs of similar age from BMC Medicine
#56
of 95 outputs
Altmetric has tracked 24,293,076 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,730 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.1. This one has gotten more attention than average, scoring higher than 54% 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 200,754 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 89% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.