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Attention Score in Context
Title |
Debates over the role of Traditional Chinese Medicine on COVID-19: A computational comparison between professionals and laypersons in Chinese online knowledge community
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Published in |
Social Science & Medicine, September 2024
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DOI | 10.1016/j.socscimed.2024.117366 |
Pubmed ID | |
Authors |
Jinhui Li, Wen Shi |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 30 September 2024.
All research outputs
#7,030,287
of 26,726,803 outputs
Outputs from Social Science & Medicine
#6,385
of 12,275 outputs
Outputs of similar age
#37,158
of 150,644 outputs
Outputs of similar age from Social Science & Medicine
#14
of 61 outputs
Altmetric has tracked 26,726,803 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 12,275 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.5. This one is in the 47th percentile – i.e., 47% 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 150,644 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.