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Incentive policy for the comprehensive development of young medical talents: an evolutionary game study

Overview of attention for article published in Frontiers in Public Health, February 2024
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Title
Incentive policy for the comprehensive development of young medical talents: an evolutionary game study
Published in
Frontiers in Public Health, February 2024
DOI 10.3389/fpubh.2024.1325166
Pubmed ID
Authors

Si Li, Lijuan He, Yaxin Huang, Dan Wang, Weihua Zhu, Zhisong Chen

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Attention Score in Context

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 February 2024.
All research outputs
#22,687,038
of 25,303,733 outputs
Outputs from Frontiers in Public Health
#9,679
of 13,839 outputs
Outputs of similar age
#131,021
of 161,526 outputs
Outputs of similar age from Frontiers in Public Health
#144
of 377 outputs
Altmetric has tracked 25,303,733 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 13,839 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. 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 161,526 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 377 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.