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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sensitive LC-MS/MS Method for the Quantification of Macrocyclic Gαq Protein Inhibitors in Biological Samples
|
|---|---|
| Published in |
Frontiers in Chemistry, September 2020
|
| DOI | 10.3389/fchem.2020.00833 |
| Pubmed ID | |
| Authors |
Markus Kuschak, Jonathan G. Schlegel, Marion Schneider, Stefan Kehraus, Jan H. Voss, Alexander Seidinger, Michaela Matthey, Daniela Wenzel, Bernd K. Fleischmann, Gabriele M. König, Christa E. Müller |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Switzerland | 1 | 25% |
| Argentina | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 25% |
| Student > Master | 2 | 25% |
| Professor | 1 | 13% |
| Student > Bachelor | 1 | 13% |
| Researcher | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 3 | 38% |
| Environmental Science | 1 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 1 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 November 2020.
All research outputs
#14,218,837
of 23,243,271 outputs
Outputs from Frontiers in Chemistry
#933
of 6,093 outputs
Outputs of similar age
#217,809
of 408,740 outputs
Outputs of similar age from Frontiers in Chemistry
#48
of 304 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,093 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 83% 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 408,740 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 304 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.