| Title |
Machine Learning and Artificial Intelligence for the Prediction of Host–Pathogen Interactions: A Viral Case
|
|---|---|
| Published in |
Infection and Drug Resistance, August 2021
|
| DOI | 10.2147/idr.s292743 |
| Pubmed ID | |
| Authors |
Artur Yakimovich |
X Demographics
The data shown below were collected from the profiles of 30 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 Kingdom | 5 | 17% |
| United States | 2 | 7% |
| Germany | 2 | 7% |
| France | 2 | 7% |
| Ukraine | 1 | 3% |
| South Africa | 1 | 3% |
| India | 1 | 3% |
| United Arab Emirates | 1 | 3% |
| Brazil | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 12 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 87% |
| Scientists | 4 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 13% |
| Student > Ph. D. Student | 4 | 13% |
| Researcher | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Student > Bachelor | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 15 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Veterinary Science and Veterinary Medicine | 2 | 6% |
| Computer Science | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Linguistics | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 17 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 22 October 2021.
All research outputs
#2,503,474
of 25,082,430 outputs
Outputs from Infection and Drug Resistance
#94
of 2,017 outputs
Outputs of similar age
#56,883
of 427,072 outputs
Outputs of similar age from Infection and Drug Resistance
#4
of 79 outputs
Altmetric has tracked 25,082,430 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,017 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 95% 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 427,072 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 86% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.