| Title |
Nuclear factor-kappa B signaling in skeletal muscle atrophy
|
|---|---|
| Published in |
Journal of Molecular Medicine, June 2008
|
| DOI | 10.1007/s00109-008-0373-8 |
| Pubmed ID | |
| Authors |
Hong Li, Shweta Malhotra, Ashok Kumar |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 316 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 6 | 2% |
| Spain | 2 | <1% |
| France | 1 | <1% |
| Ireland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Portugal | 1 | <1% |
| Slovenia | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 302 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 52 | 16% |
| Student > Master | 49 | 16% |
| Researcher | 39 | 12% |
| Student > Bachelor | 36 | 11% |
| Student > Postgraduate | 22 | 7% |
| Other | 59 | 19% |
| Unknown | 59 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 68 | 22% |
| Biochemistry, Genetics and Molecular Biology | 59 | 19% |
| Medicine and Dentistry | 52 | 16% |
| Sports and Recreations | 16 | 5% |
| Nursing and Health Professions | 13 | 4% |
| Other | 32 | 10% |
| Unknown | 76 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 February 2024.
All research outputs
#1,927,460
of 25,362,520 outputs
Outputs from Journal of Molecular Medicine
#45
of 1,640 outputs
Outputs of similar age
#4,834
of 93,717 outputs
Outputs of similar age from Journal of Molecular Medicine
#1
of 19 outputs
Altmetric has tracked 25,362,520 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,640 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. 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 93,717 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 94% of its contemporaries.
We're also able to compare this research output to 19 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 99% of its contemporaries.