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Mendeley readers
Attention Score in Context
| Title |
Solution Structure and Novel Insights into the Determinants of the Receptor Specificity of Human Relaxin-3*
|
|---|---|
| Published in |
Journal of Biological Chemistry, December 2005
|
| DOI | 10.1074/jbc.m511210200 |
| Pubmed ID | |
| Authors |
K. Johan Rosengren, Feng Lin, Ross A.D. Bathgate, Geoffrey W. Tregear, Norelle L. Daly, John D. Wade, David J. Craik |
| Abstract |
Relaxin-3 is the most recently discovered member of the relaxin family of peptide hormones. In contrast to relaxin-1 and -2, whose main functions are associated with pregnancy, relaxin-3 is involved in neuropeptide signaling in the brain. Here, we report the solution structure of human relaxin-3, the first structure of a relaxin family member to be solved by NMR methods. Overall, relaxin-3 adopts an insulin-like fold, but the structure differs crucially from the crystal structure of human relaxin-2 near the B-chain terminus. In particular, the B-chain C terminus folds back, allowing Trp(B27) to interact with the hydrophobic core. This interaction partly blocks the conserved RXXXRXXI motif identified as a determinant for the interaction with the relaxin receptor LGR7 and may account for the lower affinity of relaxin-3 relative to relaxin for this receptor. This structural feature is likely important for the activation of its endogenous receptor, GPCR135. |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 46 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 27% |
| Researcher | 11 | 23% |
| Student > Doctoral Student | 4 | 8% |
| Professor | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 8 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 31% |
| Biochemistry, Genetics and Molecular Biology | 5 | 10% |
| Medicine and Dentistry | 4 | 8% |
| Chemistry | 4 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 13 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 01 June 2014.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Journal of Biological Chemistry
#32,957
of 85,241 outputs
Outputs of similar age
#44,604
of 171,732 outputs
Outputs of similar age from Journal of Biological Chemistry
#206
of 489 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 85,241 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 171,732 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 489 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.