| Title |
De novo design of anticancer peptides by ensemble artificial neural networks
|
|---|---|
| Published in |
Journal of Molecular Modeling, April 2019
|
| DOI | 10.1007/s00894-019-4007-6 |
| Pubmed ID | |
| Authors |
Francesca Grisoni, Claudia S. Neuhaus, Miyabi Hishinuma, Gisela Gabernet, Jan A. Hiss, Masaaki Kotera, Gisbert Schneider |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 5 | 42% |
| Austria | 1 | 8% |
| Peru | 1 | 8% |
| Korea, Democratic People's Republic of | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 83% |
| Scientists | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 15 | 19% |
| Student > Ph. D. Student | 11 | 14% |
| Student > Master | 11 | 14% |
| Researcher | 5 | 6% |
| Student > Doctoral Student | 3 | 4% |
| Other | 11 | 14% |
| Unknown | 25 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 15% |
| Computer Science | 11 | 14% |
| Chemistry | 11 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 10% |
| Medicine and Dentistry | 4 | 5% |
| Other | 9 | 11% |
| Unknown | 26 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 10 April 2019.
All research outputs
#5,324,096
of 25,247,084 outputs
Outputs from Journal of Molecular Modeling
#93
of 892 outputs
Outputs of similar age
#102,410
of 359,446 outputs
Outputs of similar age from Journal of Molecular Modeling
#3
of 18 outputs
Altmetric has tracked 25,247,084 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 892 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 89% 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 359,446 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 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.