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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational Identification of Novel Kir6 Channel Inhibitors
|
|---|---|
| Published in |
Frontiers in Pharmacology, May 2019
|
| DOI | 10.3389/fphar.2019.00549 |
| Pubmed ID | |
| Authors |
Xingyu Chen, Arthur Garon, Marcus Wieder, Marien J. C. Houtman, Eva-Maria Zangerl-Plessl, Thierry Langer, Marcel A. G. van der Heyden, Anna Stary-Weinzinger |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Netherlands | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Scientists | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 18% |
| Student > Bachelor | 4 | 12% |
| Researcher | 4 | 12% |
| Student > Ph. D. Student | 4 | 12% |
| Student > Doctoral Student | 3 | 9% |
| Other | 4 | 12% |
| Unknown | 9 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 21% |
| Biochemistry, Genetics and Molecular Biology | 5 | 15% |
| Chemistry | 5 | 15% |
| Agricultural and Biological Sciences | 3 | 9% |
| Medicine and Dentistry | 3 | 9% |
| Other | 2 | 6% |
| Unknown | 9 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 July 2019.
All research outputs
#2,371,535
of 23,144,579 outputs
Outputs from Frontiers in Pharmacology
#914
of 16,540 outputs
Outputs of similar age
#52,582
of 349,945 outputs
Outputs of similar age from Frontiers in Pharmacology
#36
of 351 outputs
Altmetric has tracked 23,144,579 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,540 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 94% 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 349,945 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 351 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.