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Using Systemic Inflammatory Markers to Predict Microvascular Invasion Before Surgery in Patients With Hepatocellular Carcinoma

Overview of attention for article published in Frontiers in Surgery, March 2022
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Title
Using Systemic Inflammatory Markers to Predict Microvascular Invasion Before Surgery in Patients With Hepatocellular Carcinoma
Published in
Frontiers in Surgery, March 2022
DOI 10.3389/fsurg.2022.833779
Pubmed ID
Authors

Shumin Li, Qianwen Zeng, Ruiming Liang, Jianyan Long, Yihao Liu, Han Xiao, Kaiyu Sun

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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 16 March 2022.
All research outputs
#20,747,586
of 23,347,114 outputs
Outputs from Frontiers in Surgery
#1,459
of 3,187 outputs
Outputs of similar age
#362,032
of 440,740 outputs
Outputs of similar age from Frontiers in Surgery
#201
of 472 outputs
Altmetric has tracked 23,347,114 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 3,187 research outputs from this source. They receive a mean Attention Score of 2.2. 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 440,740 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 472 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.