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Development and Prospective Validation of an Ultrasound Prediction Model for the Differential Diagnosis of Benign and Malignant Subpleural Pulmonary Lesions: A Large Ambispective Cohort Study

Overview of attention for article published in Frontiers in oncology, May 2021
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1 X user

Citations

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Title
Development and Prospective Validation of an Ultrasound Prediction Model for the Differential Diagnosis of Benign and Malignant Subpleural Pulmonary Lesions: A Large Ambispective Cohort Study
Published in
Frontiers in oncology, May 2021
DOI 10.3389/fonc.2021.656060
Pubmed ID
Authors

Ke Bi, De-meng Xia, Lin Fan, Xiao-fei Ye, Yi Zhang, Meng-jun Shen, Hong-wei Chen, Yang Cong, Hui-ming Zhu, Chun-hong Tang, Jing Yuan, Yin Wang

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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.
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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 > Postgraduate 2 29%
Lecturer 2 29%
Professor > Associate Professor 1 14%
Student > Bachelor 1 14%
Unknown 1 14%
Readers by discipline Count As %
Medicine and Dentistry 4 57%
Sports and Recreations 1 14%
Design 1 14%
Unknown 1 14%
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 09 May 2021.
All research outputs
#23,768,678
of 26,456,908 outputs
Outputs from Frontiers in oncology
#16,910
of 23,201 outputs
Outputs of similar age
#396,678
of 459,471 outputs
Outputs of similar age from Frontiers in oncology
#825
of 1,259 outputs
Altmetric has tracked 26,456,908 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 23,201 research outputs from this source. They receive a mean Attention Score of 3.2. 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 459,471 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 1,259 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.