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A Novel MRI-Based Risk Stratification Algorithm for Predicting Postoperative Recurrence of Meningioma: More Benefits to Patients

Overview of attention for article published in Frontiers in oncology, October 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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5 Dimensions

Readers on

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10 Mendeley
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Title
A Novel MRI-Based Risk Stratification Algorithm for Predicting Postoperative Recurrence of Meningioma: More Benefits to Patients
Published in
Frontiers in oncology, October 2021
DOI 10.3389/fonc.2021.737520
Pubmed ID
Authors

Rufei Zhang, Xiaodan Chen, Jialing Cai, Peirong Jiang, Yilin Chen, Bin Sun, Yang Song, Lin Lin, Yunjing Xue

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 10%
Other 1 10%
Student > Doctoral Student 1 10%
Unknown 7 70%
Readers by discipline Count As %
Medicine and Dentistry 2 20%
Physics and Astronomy 1 10%
Unknown 7 70%
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 05 November 2021.
All research outputs
#20,669,432
of 25,392,582 outputs
Outputs from Frontiers in oncology
#11,323
of 22,436 outputs
Outputs of similar age
#331,512
of 441,790 outputs
Outputs of similar age from Frontiers in oncology
#686
of 1,508 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,436 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 29th percentile – i.e., 29% 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 441,790 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,508 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.