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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Glycosaminoglycan and chemokine/growth factor interactions.
|
|---|---|
| Chapter number | 13 |
| Book title |
Heparin - A Century of Progress
|
| Published in |
Handbook of experimental pharmacology, January 2012
|
| DOI | 10.1007/978-3-642-23056-1_13 |
| Pubmed ID | |
| Book ISBNs |
978-3-64-223055-4, 978-3-64-223056-1
|
| Authors |
Janis Shute, Shute, Janis |
| Abstract |
Heparin and glycosaminoglycans (GAGs) related structurally to heparin, notably heparan sulphate, bind to most, if not all, chemokines and many growth factors. The chemokine and growth factor interactions with GAGs localise the peptide mediators to specific sites in tissues and influence their stability and function. This chapter discusses the nature of these interactions and the effect on the function of a number of chemokines (PF-4, interleukin-8, RANTES and SDF-1) and growth factors (FGF, HGF, VEGF) in normal physiology and the disease setting. Novel therapeutic interventions that target chemokine and growth factor interactions with GAGs are also discussed. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 3% |
| Brazil | 1 | 3% |
| Unknown | 29 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 26% |
| Student > Ph. D. Student | 6 | 19% |
| Student > Doctoral Student | 4 | 13% |
| Student > Master | 4 | 13% |
| Professor | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 26% |
| Agricultural and Biological Sciences | 6 | 19% |
| Biochemistry, Genetics and Molecular Biology | 5 | 16% |
| Immunology and Microbiology | 4 | 13% |
| Chemistry | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 4 | 13% |
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 09 May 2012.
All research outputs
#20,156,537
of 22,664,644 outputs
Outputs from Handbook of experimental pharmacology
#564
of 643 outputs
Outputs of similar age
#221,139
of 244,053 outputs
Outputs of similar age from Handbook of experimental pharmacology
#25
of 26 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 643 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one is in the 1st percentile – i.e., 1% 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 244,053 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 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.