| Title |
Fundamentals of and Critical Issues in Lipid Autacoid Medicine: A Review
|
|---|---|
| Published in |
Pain and Therapy, June 2017
|
| DOI | 10.1007/s40122-017-0075-4 |
| Pubmed ID | |
| Authors |
Jan M. Keppel Hesselink |
| Abstract |
The identification of a number of families of lipid signal molecules since the 1990s created new therapeutic possibilities for a great number of disorders characterized by chronic inflammation and pain. These lipid autacoids have been explored in a great variety of animal models related to inflammation, pain, (neuro-)protection, and repair. Based on the data from these models, as well as on a number of proof of principle studies in the clinic in indications such as neuropathic pain, a new chapter in medicine is about to begin. We would like to introduce the term "Autacoid Pain Medicine" for this chapter. There are, however, a number of methodological and strategic issues to overcome in this field. One of the roadblocks is related to patent strategies around families of these molecules. As this is not always recognized we will present a number of examples. |
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 % |
|---|---|---|
| Netherlands | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 14 | 32% |
| Student > Master | 5 | 11% |
| Student > Bachelor | 5 | 11% |
| Researcher | 4 | 9% |
| Student > Ph. D. Student | 4 | 9% |
| Other | 6 | 14% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 14 | 32% |
| Medicine and Dentistry | 14 | 32% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Chemistry | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 6 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 25 April 2019.
All research outputs
#13,043,899
of 22,981,247 outputs
Outputs from Pain and Therapy
#164
of 424 outputs
Outputs of similar age
#150,866
of 316,590 outputs
Outputs of similar age from Pain and Therapy
#4
of 7 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 424 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 59% 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 316,590 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.