You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
VCP/p97 inhibitor CB-5083 modulates muscle pathology in a mouse model of VCP inclusion body myopathy
|
|---|---|
| Published in |
Journal of Translational Medicine, January 2022
|
| DOI | 10.1186/s12967-021-03186-6 |
| Pubmed ID | |
| Authors |
Cheng Cheng, Lan Weiss, Henri Leinonen, Alyaa Shmara, Hong Z. Yin, Timothy Ton, Annie Do, Jonathan Lee, Lac Ta, Eshanee Mohanty, Jesse Vargas, John Weiss, Krzysztof Palczewski, Virginia Kimonis |
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 States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 15% |
| Student > Ph. D. Student | 3 | 15% |
| Other | 2 | 10% |
| Student > Doctoral Student | 2 | 10% |
| Student > Bachelor | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 7 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 35% |
| Medicine and Dentistry | 2 | 10% |
| Chemistry | 1 | 5% |
| Neuroscience | 1 | 5% |
| Unknown | 9 | 45% |
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 10 January 2022.
All research outputs
#14,718,998
of 23,577,654 outputs
Outputs from Journal of Translational Medicine
#1,876
of 4,185 outputs
Outputs of similar age
#248,071
of 513,819 outputs
Outputs of similar age from Journal of Translational Medicine
#40
of 106 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,185 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 50% 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 513,819 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 106 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 57% of its contemporaries.