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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Are mice good models for human neuromuscular disease? Comparing muscle excursions in walking between mice and humans
|
|---|---|
| Published in |
Skeletal Muscle, November 2017
|
| DOI | 10.1186/s13395-017-0143-9 |
| Pubmed ID | |
| Authors |
Xiao Hu, James P. Charles, Turgay Akay, John R. Hutchinson, Silvia S. Blemker |
| Abstract |
The mouse is one of the most widely used animal models to study neuromuscular diseases and test new therapeutic strategies. However, findings from successful pre-clinical studies using mouse models frequently fail to translate to humans due to various factors. Differences in muscle function between the two species could be crucial but often have been overlooked. The purpose of this study was to evaluate and compare muscle excursions in walking between mice and humans. Recently published musculoskeletal models of the mouse hindlimb and human lower limb were used to simulate muscle-tendon dynamics during mouse and human walking, a key daily activity. Muscle fiber length changes (fiber excursions) of 25 muscle homologs in the two species were calculated from these simulations and then compared. To understand potential causes of differences in fiber excursions in walking, joint excursions and muscle moment arms were also compared across one gait cycle. Most muscles (19 out of 25 muscles) of the mouse hindlimb had much smaller fiber excursions as compared to human lower limb muscles during walking. For these muscles, fiber excursions in mice were only 48 ± 19% of those in humans. The differences in fiber excursion between the two species were primarily due to the reduced joint excursions and smaller muscle moment arms in mice as compared to humans. Since progressive neuromuscular diseases, such as Duchenne muscular dystrophy, are known to be accelerated by damage accumulated from active muscle lengthening, these results suggest that biomechanical differences in muscle function during walking between mice and humans may impede the translations of knowledge gained from mouse models to humans. This knowledge would add a fresh perspective on how pre-clinical studies on mice might be better designed to improve translation to human clinical trials. |
X Demographics
The data shown below were collected from the profiles of 33 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 | 9 | 27% |
| Australia | 4 | 12% |
| United Kingdom | 3 | 9% |
| France | 2 | 6% |
| Canada | 1 | 3% |
| Sri Lanka | 1 | 3% |
| Bolivia, Plurinational State of | 1 | 3% |
| Unknown | 12 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 58% |
| Scientists | 12 | 36% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
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 | 19 | 19% |
| Student > Master | 16 | 16% |
| Student > Bachelor | 9 | 9% |
| Student > Doctoral Student | 4 | 4% |
| Other | 15 | 15% |
| Unknown | 20 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 22% |
| Engineering | 12 | 12% |
| Agricultural and Biological Sciences | 8 | 8% |
| Neuroscience | 8 | 8% |
| Medicine and Dentistry | 7 | 7% |
| Other | 16 | 16% |
| Unknown | 29 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 20 May 2021.
All research outputs
#1,395,578
of 25,214,112 outputs
Outputs from Skeletal Muscle
#19
of 387 outputs
Outputs of similar age
#25,123
of 301,059 outputs
Outputs of similar age from Skeletal Muscle
#3
of 10 outputs
Altmetric has tracked 25,214,112 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 387 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 95% 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 301,059 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 91% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.