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Mendeley readers
Attention Score in Context
| Title |
Investigating the Role of Large-Scale Domain Dynamics in Protein-Protein Interactions
|
|---|---|
| Published in |
Frontiers in Molecular Biosciences, September 2016
|
| DOI | 10.3389/fmolb.2016.00054 |
| Pubmed ID | |
| Authors |
Elise Delaforge, Sigrid Milles, Jie-rong Huang, Denis Bouvier, Malene Ringkjøbing Jensen, Michael Sattler, Darren J. Hart, Martin Blackledge |
| Abstract |
Intrinsically disordered linkers provide multi-domain proteins with degrees of conformational freedom that are often essential for function. These highly dynamic assemblies represent a significant fraction of all proteomes, and deciphering the physical basis of their interactions represents a considerable challenge. Here we describe the difficulties associated with mapping the large-scale domain dynamics and describe two recent examples where solution state methods, in particular NMR spectroscopy, are used to investigate conformational exchange on very different timescales. |
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 % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 62 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 21% |
| Student > Ph. D. Student | 10 | 16% |
| Professor | 7 | 11% |
| Student > Master | 4 | 6% |
| Student > Bachelor | 3 | 5% |
| Other | 10 | 16% |
| Unknown | 16 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 35% |
| Chemistry | 11 | 17% |
| Agricultural and Biological Sciences | 8 | 13% |
| Neuroscience | 1 | 2% |
| Chemical Engineering | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 20 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 September 2016.
All research outputs
#18,471,305
of 22,888,307 outputs
Outputs from Frontiers in Molecular Biosciences
#1,963
of 3,811 outputs
Outputs of similar age
#244,523
of 322,146 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#17
of 34 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,811 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 33rd percentile – i.e., 33% 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 322,146 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.