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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Two inhibitors of yeast plasma membrane ATPase 1 (ScPma1p): toward the development of novel antifungal therapies
|
|---|---|
| Published in |
Journal of Cheminformatics, February 2018
|
| DOI | 10.1186/s13321-018-0261-3 |
| Pubmed ID | |
| Authors |
Sabine Ottilie, Gregory M. Goldgof, Andrea L. Cheung, Jennifer L. Walker, Edgar Vigil, Kenneth E. Allen, Yevgeniya Antonova-Koch, Carolyn W. Slayman, Yo Suzuki, Jacob D. Durrant |
| Abstract |
Given that many antifungal medications are susceptible to evolved resistance, there is a need for novel drugs with unique mechanisms of action. Inhibiting the essential proton pump Pma1p, a P-type ATPase, is a potentially effective therapeutic approach that is orthogonal to existing treatments. We identify NSC11668 and hitachimycin as structurally distinct antifungals that inhibit yeast ScPma1p. These compounds provide new opportunities for drug discovery aimed at this important target. |
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 % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 21% |
| Student > Bachelor | 5 | 17% |
| Researcher | 4 | 14% |
| Other | 3 | 10% |
| Student > Master | 3 | 10% |
| Other | 3 | 10% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 24% |
| Chemistry | 6 | 21% |
| Biochemistry, Genetics and Molecular Biology | 5 | 17% |
| Immunology and Microbiology | 2 | 7% |
| Medicine and Dentistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 7 | 24% |
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 26 April 2018.
All research outputs
#14,376,243
of 23,023,224 outputs
Outputs from Journal of Cheminformatics
#713
of 841 outputs
Outputs of similar age
#188,115
of 331,055 outputs
Outputs of similar age from Journal of Cheminformatics
#16
of 19 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 841 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 11th percentile – i.e., 11% 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 331,055 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.