| Title |
A novel atlas of gene expression in human skeletal muscle reveals molecular changes associated with aging
|
|---|---|
| Published in |
Skeletal Muscle, October 2015
|
| DOI | 10.1186/s13395-015-0059-1 |
| Pubmed ID | |
| Authors |
Jing Su, Carl Ekman, Nikolay Oskolkov, Leo Lahti, Kristoffer Ström, Alvis Brazma, Leif Groop, Johan Rung, Ola Hansson |
X Demographics
The data shown below were collected from the profiles of 29 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 States | 10 | 34% |
| United Kingdom | 4 | 14% |
| Denmark | 1 | 3% |
| Finland | 1 | 3% |
| Chile | 1 | 3% |
| Unknown | 12 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 52% |
| Scientists | 9 | 31% |
| Practitioners (doctors, other healthcare professionals) | 4 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | <1% |
| Netherlands | 1 | <1% |
| Finland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Denmark | 1 | <1% |
| Russia | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 129 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 24% |
| Researcher | 24 | 18% |
| Student > Master | 14 | 10% |
| Student > Bachelor | 13 | 10% |
| Student > Doctoral Student | 6 | 4% |
| Other | 28 | 21% |
| Unknown | 19 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 24% |
| Biochemistry, Genetics and Molecular Biology | 30 | 22% |
| Medicine and Dentistry | 21 | 15% |
| Sports and Recreations | 8 | 6% |
| Computer Science | 4 | 3% |
| Other | 16 | 12% |
| Unknown | 25 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 15 March 2023.
All research outputs
#1,224,894
of 25,490,562 outputs
Outputs from Skeletal Muscle
#12
of 390 outputs
Outputs of similar age
#17,658
of 290,962 outputs
Outputs of similar age from Skeletal Muscle
#2
of 11 outputs
Altmetric has tracked 25,490,562 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 390 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 97% 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 290,962 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
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 done particularly well, scoring higher than 90% of its contemporaries.