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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Applications of ApoB LDLR-Binding Domain Approach for the Development of CNS-Penetrating Peptides for Alzheimer's Disease.
|
|---|---|
| Chapter number | 21 |
| Book title |
Cell-Penetrating Peptides
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-2806-4_21 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2805-7, 978-1-4939-2806-4
|
| Authors |
Masliah, Eliezer, Spencer, Brian, Eliezer Masliah, Brian Spencer |
| Editors |
Ülo Langel |
| Abstract |
Delivery of protein therapeutics to the CNS has proven to be a challenge to due to the presence of the blood-brain barrier (BBB), which prevents the passage of most proteins and large molecules from invading the neuronal space. Recently, we, and others, have developed technologies to circumvent this barrier by targeting receptors on the surface of the endothelial cells of the BBB to facilitate transport of therapeutic proteins. We describe here one such approach for targeting the LDLR by fusion of 38 amino acids from the ApoB protein to a therapeutic protein. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 4% |
| Unknown | 25 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 23% |
| Researcher | 3 | 12% |
| Student > Bachelor | 3 | 12% |
| Unspecified | 1 | 4% |
| Other | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 10 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 19% |
| Agricultural and Biological Sciences | 4 | 15% |
| Chemistry | 3 | 12% |
| Environmental Science | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 9 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 27 April 2016.
All research outputs
#2,941,264
of 22,817,213 outputs
Outputs from Methods in molecular biology
#594
of 13,121 outputs
Outputs of similar age
#43,409
of 353,109 outputs
Outputs of similar age from Methods in molecular biology
#36
of 997 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,121 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 95% 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 353,109 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 87% of its contemporaries.
We're also able to compare this research output to 997 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 96% of its contemporaries.