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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterization of the SAM domain of the PKD-related protein ANKS6 and its interaction with ANKS3
|
|---|---|
| Published in |
BMC Molecular and Cell Biology, July 2014
|
| DOI | 10.1186/1472-6807-14-17 |
| Pubmed ID | |
| Authors |
Catherine N Leettola, Mary Jane Knight, Duilio Cascio, Sigrid Hoffman, James U Bowie |
| Abstract |
Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic disorder leading to end-stage renal failure in humans. In the PKD/Mhm(cy/+) rat model of ADPKD, the point mutation R823W in the sterile alpha motif (SAM) domain of the protein ANKS6 is responsible for disease. SAM domains are known protein-protein interaction domains, capable of binding each other to form polymers and heterodimers. Despite its physiological importance, little is known about the function of ANKS6 and how the R823W point mutation leads to PKD. Recent work has revealed that ANKS6 interacts with a related protein called ANKS3. Both ANKS6 and ANKS3 have a similar domain structure, with ankyrin repeats at the N-terminus and a SAM domain at the C-terminus. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Unknown | 55 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 25% |
| Researcher | 8 | 14% |
| Student > Bachelor | 4 | 7% |
| Professor > Associate Professor | 3 | 5% |
| Student > Master | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 16 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 27% |
| Agricultural and Biological Sciences | 8 | 14% |
| Medicine and Dentistry | 7 | 13% |
| Computer Science | 2 | 4% |
| Mathematics | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 18 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 21 September 2017.
All research outputs
#7,960,052
of 25,373,627 outputs
Outputs from BMC Molecular and Cell Biology
#277
of 1,233 outputs
Outputs of similar age
#71,657
of 240,374 outputs
Outputs of similar age from BMC Molecular and Cell Biology
#4
of 25 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,233 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 75% 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 240,374 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.