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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using transcriptomics to identify and validate novel biomarkers of human skeletal muscle cancer cachexia
|
|---|---|
| Published in |
Genome Medicine, January 2010
|
| DOI | 10.1186/gm122 |
| Pubmed ID | |
| Authors |
Nathan A Stephens, Iain J Gallagher, Olav Rooyackers, Richard J Skipworth, Ben H Tan, Troels Marstrand, James A Ross, Denis C Guttridge, Lars Lundell, Kenneth C Fearon, James A Timmons |
X Demographics
The data shown below were collected from the profiles of 2 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 1% |
| Netherlands | 1 | <1% |
| Montenegro | 1 | <1% |
| Australia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Denmark | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 146 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 17% |
| Researcher | 24 | 16% |
| Student > Master | 15 | 10% |
| Student > Bachelor | 15 | 10% |
| Professor | 14 | 9% |
| Other | 40 | 26% |
| Unknown | 20 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 29% |
| Biochemistry, Genetics and Molecular Biology | 27 | 18% |
| Medicine and Dentistry | 27 | 18% |
| Nursing and Health Professions | 4 | 3% |
| Sports and Recreations | 4 | 3% |
| Other | 15 | 10% |
| Unknown | 32 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 28 April 2023.
All research outputs
#16,579,551
of 25,373,627 outputs
Outputs from Genome Medicine
#1,427
of 1,585 outputs
Outputs of similar age
#150,996
of 183,610 outputs
Outputs of similar age from Genome Medicine
#5
of 11 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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 183,610 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.