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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Generation of rationally-designed nerve growth factor (NGF) variants with receptor specificity
|
|---|---|
| Published in |
Biochemical & Biophysical Research Communications, November 2017
|
| DOI | 10.1016/j.bbrc.2017.11.003 |
| Pubmed ID | |
| Authors |
Laura A. Carleton, Reka Chakravarthy, Almer M. van der Sloot, Katarzyna Mnich, Luis Serrano, Afshin Samali, Adrienne M. Gorman |
| Abstract |
Nerve growth factor (NGF) is the prototypic member of the neurotrophin family and binds two receptors, TrkA and the 75 kDa neurotrophin receptor (p75(NTR)), through which diverse and sometimes opposing effects are mediated. Using the FoldX protein design algorithm, we generated eight NGF variants with different point mutations predicted to have altered binding to TrkA or p75(NTR). Of these, the I31R NGF variant exhibited specific binding to p75(NTR). The generation of this NGF variant with selective affinity for p75(NTR) can be used to enhance understanding of neurotrophin receptor imbalance in diseases and identifies a key targetable residue for the development of small molecules to disrupt binding of NGF to TrkA with potential uses in chronic pain. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 20% |
| Other | 1 | 10% |
| Professor | 1 | 10% |
| Student > Ph. D. Student | 1 | 10% |
| Student > Master | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 3 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 30% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 10% |
| Agricultural and Biological Sciences | 1 | 10% |
| Engineering | 1 | 10% |
| Unknown | 4 | 40% |
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 06 March 2018.
All research outputs
#15,745,807
of 25,382,440 outputs
Outputs from Biochemical & Biophysical Research Communications
#19,605
of 26,641 outputs
Outputs of similar age
#187,383
of 340,691 outputs
Outputs of similar age from Biochemical & Biophysical Research Communications
#55
of 266 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26,641 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 25th percentile – i.e., 25% 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 340,691 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 266 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.