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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Diversification of the muscle proteome through alternative splicing
|
|---|---|
| Published in |
Skeletal Muscle, March 2018
|
| DOI | 10.1186/s13395-018-0152-3 |
| Pubmed ID | |
| Authors |
Kiran Nakka, Claudia Ghigna, Davide Gabellini, F. Jeffrey Dilworth |
X Demographics
The data shown below were collected from the profiles of 13 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 | 3 | 23% |
| France | 2 | 15% |
| Spain | 1 | 8% |
| China | 1 | 8% |
| Canada | 1 | 8% |
| Australia | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 69% |
| Scientists | 3 | 23% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 19% |
| Researcher | 17 | 17% |
| Student > Master | 11 | 11% |
| Student > Bachelor | 8 | 8% |
| Other | 6 | 6% |
| Other | 21 | 21% |
| Unknown | 20 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 46 | 45% |
| Agricultural and Biological Sciences | 13 | 13% |
| Medicine and Dentistry | 5 | 5% |
| Neuroscience | 5 | 5% |
| Unspecified | 4 | 4% |
| Other | 7 | 7% |
| Unknown | 22 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 06 November 2018.
All research outputs
#4,688,066
of 26,017,215 outputs
Outputs from Skeletal Muscle
#118
of 394 outputs
Outputs of similar age
#84,320
of 351,391 outputs
Outputs of similar age from Skeletal Muscle
#7
of 12 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 394 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has gotten more attention than average, scoring higher than 69% 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 351,391 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 75% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.