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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
PI3Ks-Drug Targets in Inflammation and Cancer.
|
|---|---|
| Chapter number | 5 |
| Book title |
Phosphoinositides I: Enzymes of Synthesis and Degradation
|
| Published in |
Sub cellular biochemistry, March 2012
|
| DOI | 10.1007/978-94-007-3012-0_5 |
| Pubmed ID | |
| Book ISBNs |
978-9-40-073011-3, 978-9-40-073012-0
|
| Authors |
Wymann M, Matthias Wymann |
| Abstract |
Phosphoinositide 3-kinases (PI3Ks) control cell growth, proliferation, cell survival, metabolic activity, vesicular trafficking, degranulation, and migration. Through these processes, PI3Ks modulate vital physiology. When over-activated in disease, PI3K promotes tumor growth, angiogenesis, metastasis or excessive immune cell activation in inflammation, allergy and autoimmunity. This chapter will introduce molecular activation and signaling of PI3Ks, and connections to target of rapamycin (TOR) and PI3K-related protein kinases (PIKKs). The focus will be on class I PI3Ks, and extend into current developments to exploit mechanistic knowledge for therapy. |
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 % |
|---|---|---|
| Germany | 1 | 33% |
| United States | 1 | 33% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 8% |
| Unknown | 12 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 23% |
| Researcher | 2 | 15% |
| Student > Doctoral Student | 2 | 15% |
| Student > Master | 1 | 8% |
| Other | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 31% |
| Biochemistry, Genetics and Molecular Biology | 2 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
| Immunology and Microbiology | 1 | 8% |
| Social Sciences | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 23% |
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 01 August 2012.
All research outputs
#15,242,707
of 22,663,969 outputs
Outputs from Sub cellular biochemistry
#183
of 350 outputs
Outputs of similar age
#100,160
of 156,529 outputs
Outputs of similar age from Sub cellular biochemistry
#3
of 14 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 350 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 156,529 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.