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Mendeley readers
Attention Score in Context
| Title |
An Actin Filament Population Defined by the Tropomyosin Tpm3.1 Regulates Glucose Uptake
|
|---|---|
| Published in |
Traffic, April 2015
|
| DOI | 10.1111/tra.12282 |
| Pubmed ID | |
| Authors |
Anthony J. Kee, Lingyan Yang, Christine A. Lucas, Michael J. Greenberg, Nick Martel, Gary M. Leong, William E. Hughes, Gregory J. Cooney, David E. James, E. Michael Ostap, Weiping Han, Peter W. Gunning, Edna C. Hardeman |
| Abstract |
Actin has an ill-defined role in the trafficking of GLUT4 glucose transporter vesicles to the plasma membrane (PM). We have identified novel actin filaments defined by the tropomyosin Tpm3.1 at glucose uptake sites in white adipose tissue (WAT) and skeletal muscle. In Tpm 3.1-overexpressing mice, insulin-stimulated glucose uptake was increased; while Tpm3.1-null mice they were more sensitive to the impact of high-fat diet on glucose uptake. Inhibition of Tpm3.1 function in 3T3-L1 adipocytes abrogates insulin-stimulated GLUT4 translocation and glucose uptake. In WAT, the amount of filamentous actin is determined by Tpm3.1 levels and is paralleled by changes in exocyst component (sec8) and Myo1c levels. In adipocytes, Tpm3.1 localizes with MyoIIA, but not Myo1c, and it inhibits Myo1c binding to actin. We propose that Tpm3.1 determines the amount of cortical actin that can engage MyoIIA and generate contractile force, and in parallel limits the interaction of Myo1c with actin filaments. The balance between these actin filament populations may determine the efficiency of movement and/or fusion of GLUT4 vesicles with the PM. |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 3% |
| Unknown | 62 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 19% |
| Researcher | 11 | 17% |
| Student > Master | 9 | 14% |
| Professor | 5 | 8% |
| Student > Bachelor | 4 | 6% |
| Other | 9 | 14% |
| Unknown | 14 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 38% |
| Agricultural and Biological Sciences | 14 | 22% |
| Medicine and Dentistry | 5 | 8% |
| Engineering | 4 | 6% |
| Sports and Recreations | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 14 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 18 May 2020.
All research outputs
#2,000,335
of 22,811,321 outputs
Outputs from Traffic
#27
of 1,218 outputs
Outputs of similar age
#27,435
of 264,458 outputs
Outputs of similar age from Traffic
#1
of 24 outputs
Altmetric has tracked 22,811,321 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,218 research outputs from this source. They receive a mean Attention Score of 3.6. 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 264,458 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 89% of its contemporaries.
We're also able to compare this research output to 24 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 95% of its contemporaries.