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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning and Its Applications for Protozoal Pathogens and Protozoal Infectious Diseases
|
|---|---|
| Published in |
Frontiers in Cellular and Infection Microbiology, April 2022
|
| DOI | 10.3389/fcimb.2022.882995 |
| Pubmed ID | |
| Authors |
Rui-Si Hu, Abd El-Latif Hesham, Quan Zou |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 19% |
| Student > Master | 3 | 8% |
| Lecturer | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Professor > Associate Professor | 2 | 5% |
| Other | 6 | 16% |
| Unknown | 14 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Medicine and Dentistry | 4 | 11% |
| Agricultural and Biological Sciences | 3 | 8% |
| Computer Science | 3 | 8% |
| Engineering | 2 | 5% |
| Other | 7 | 19% |
| Unknown | 13 | 35% |
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 16 May 2022.
All research outputs
#20,717,791
of 25,443,857 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#6,047
of 8,110 outputs
Outputs of similar age
#335,581
of 446,844 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#371
of 467 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,110 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 5th percentile – i.e., 5% 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 446,844 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 467 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.