You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
In silico Approaches for the Design and Optimization of Interfering Peptides Against Protein–Protein Interactions
|
|---|---|
| Published in |
Frontiers in Molecular Biosciences, April 2021
|
| DOI | 10.3389/fmolb.2021.669431 |
| Pubmed ID | |
| Authors |
Zahra Sadat Hashemi, Mahboubeh Zarei, Mohsen Karami Fath, Mahmoud Ganji, Mahboube Shahrabi Farahani, Fatemeh Afsharnouri, Navid Pourzardosht, Bahman Khalesi, Abolfazl Jahangiri, Mohammad Reza Rahbar, Saeed Khalili |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 143 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 11% |
| Student > Bachelor | 15 | 10% |
| Student > Master | 12 | 8% |
| Researcher | 10 | 7% |
| Other | 6 | 4% |
| Other | 14 | 10% |
| Unknown | 70 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 30 | 21% |
| Agricultural and Biological Sciences | 10 | 7% |
| Chemistry | 7 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 3% |
| Computer Science | 3 | 2% |
| Other | 15 | 10% |
| Unknown | 74 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 March 2022.
All research outputs
#20,360,743
of 25,891,484 outputs
Outputs from Frontiers in Molecular Biosciences
#2,151
of 4,771 outputs
Outputs of similar age
#330,991
of 457,496 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#212
of 442 outputs
Altmetric has tracked 25,891,484 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,771 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 48th percentile – i.e., 48% 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 457,496 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 442 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.