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Mendeley readers
Attention Score in Context
Title |
Application of machine learning for risky sexual behavior interventions among factory workers in China
|
---|---|
Published in |
Frontiers in Public Health, August 2023
|
DOI | 10.3389/fpubh.2023.1092018 |
Pubmed ID | |
Authors |
Fang Zhang, Shiben Zhu, Siyu Chen, Ziyu Hao, Yuan Fang, Huachun Zou, Yong Cai, Bolin Cao, Kechun Zhang, He Cao, Yaqi Chen, Tian Hu, Zixin Wang |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 1 | 7% |
Researcher | 1 | 7% |
Lecturer | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Unknown | 10 | 71% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 1 | 7% |
Nursing and Health Professions | 1 | 7% |
Computer Science | 1 | 7% |
Medicine and Dentistry | 1 | 7% |
Engineering | 1 | 7% |
Other | 0 | 0% |
Unknown | 9 | 64% |
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 04 August 2023.
All research outputs
#21,694,116
of 24,211,034 outputs
Outputs from Frontiers in Public Health
#8,783
of 12,202 outputs
Outputs of similar age
#142,798
of 174,773 outputs
Outputs of similar age from Frontiers in Public Health
#186
of 411 outputs
Altmetric has tracked 24,211,034 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,202 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 1st percentile – i.e., 1% 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 174,773 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 411 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.