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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Lipid Discovery by Combinatorial Screening and Untargeted LC-MS/MS
|
|---|---|
| Published in |
Scientific Reports, June 2016
|
| DOI | 10.1038/srep27920 |
| Pubmed ID | |
| Authors |
Mesut Bilgin, Petra Born, Filomena Fezza, Michael Heimes, Nicolina Mastrangelo, Nicolai Wagner, Carsten Schultz, Mauro Maccarrone, Suzanne Eaton, André Nadler, Matthias Wilm, Andrej Shevchenko |
| Abstract |
We present a method for the systematic identification of picogram quantities of new lipids in total extracts of tissues and fluids. It relies on the modularity of lipid structures and applies all-ions fragmentation LC-MS/MS and Arcadiate software to recognize individual modules originating from the same lipid precursor of known or assumed structure. In this way it alleviates the need to recognize and fragment very low abundant precursors of novel molecules in complex lipid extracts. In a single analysis of rat kidney extract the method identified 58 known and discovered 74 novel endogenous endocannabinoids and endocannabinoid-related molecules, including a novel class of N-acylaspartates that inhibit Hedgehog signaling while having no impact on endocannabinoid receptors. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 2 | 29% |
| Germany | 2 | 29% |
| United States | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 2 | 3% |
| Germany | 1 | 2% |
| Taiwan | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 60 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 34% |
| Student > Ph. D. Student | 11 | 17% |
| Student > Bachelor | 4 | 6% |
| Professor > Associate Professor | 4 | 6% |
| Student > Master | 4 | 6% |
| Other | 6 | 9% |
| Unknown | 14 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 25% |
| Agricultural and Biological Sciences | 11 | 17% |
| Chemistry | 7 | 11% |
| Engineering | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 18 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 17 April 2020.
All research outputs
#5,905,390
of 22,880,230 outputs
Outputs from Scientific Reports
#39,832
of 123,604 outputs
Outputs of similar age
#97,633
of 352,647 outputs
Outputs of similar age from Scientific Reports
#1,144
of 3,666 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 123,604 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has gotten more attention than average, scoring higher than 67% 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 352,647 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 71% of its contemporaries.
We're also able to compare this research output to 3,666 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 68% of its contemporaries.