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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Clinical utility of serum biomarkers in Duchenne muscular dystrophy
|
|---|---|
| Published in |
Clinical Proteomics, April 2016
|
| DOI | 10.1186/s12014-016-9109-x |
| Pubmed ID | |
| Authors |
Yetrib Hathout, Haeri Seol, Meng Hsuan J. Han, Aiping Zhang, Kristy J. Brown, Eric P. Hoffman |
| Abstract |
Assessments of disease progression and response to therapies in Duchenne muscular dystrophy (DMD) patients remain challenging. Current DMD patient assessments include complex physical tests and invasive procedures such as muscle biopsies, which are not suitable for young children. Defining alternative, less invasive and objective outcome measures to assess disease progression and response to therapy will aid drug development and clinical trials in DMD. In this review we highlight advances in development of non-invasive blood circulating biomarkers as a means to assess disease progression and response to therapies in DMD. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Qatar | 1 | 10% |
| United States | 1 | 10% |
| Unknown | 8 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 122 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 19% |
| Student > Master | 17 | 14% |
| Student > Ph. D. Student | 15 | 12% |
| Student > Bachelor | 12 | 10% |
| Professor > Associate Professor | 5 | 4% |
| Other | 20 | 16% |
| Unknown | 30 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 22% |
| Medicine and Dentistry | 20 | 16% |
| Agricultural and Biological Sciences | 18 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 3% |
| Engineering | 4 | 3% |
| Other | 14 | 11% |
| Unknown | 35 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 09 January 2024.
All research outputs
#3,745,289
of 25,177,382 outputs
Outputs from Clinical Proteomics
#47
of 324 outputs
Outputs of similar age
#57,942
of 307,249 outputs
Outputs of similar age from Clinical Proteomics
#4
of 9 outputs
Altmetric has tracked 25,177,382 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 324 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done well, scoring higher than 85% 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 307,249 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 80% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.