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Differentiating malignant and benign pleural effusion in patients with lung cancer: an 18F-FDG PET/CT retrospectively study

Overview of attention for article published in Frontiers in oncology, June 2023
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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7 Mendeley
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Title
Differentiating malignant and benign pleural effusion in patients with lung cancer: an 18F-FDG PET/CT retrospectively study
Published in
Frontiers in oncology, June 2023
DOI 10.3389/fonc.2023.1192870
Pubmed ID
Authors

Weishan Zhang, Zhe Liu, Xiaoyi Duan, Yan Li, Cong Shen, Youmin Guo, Jian Yang

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 14%
Researcher 1 14%
Unknown 5 71%
Readers by discipline Count As %
Medicine and Dentistry 2 29%
Unknown 5 71%
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 11 July 2023.
All research outputs
#23,513,156
of 26,180,352 outputs
Outputs from Frontiers in oncology
#16,431
of 22,922 outputs
Outputs of similar age
#324,412
of 379,834 outputs
Outputs of similar age from Frontiers in oncology
#644
of 1,052 outputs
Altmetric has tracked 26,180,352 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 22,922 research outputs from this source. They receive a mean Attention Score of 3.1. 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 379,834 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 1,052 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.