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Molecular Subtypes Based on the Stemness Index Predict Prognosis in Glioma Patients

Overview of attention for article published in Frontiers in Genetics, March 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Molecular Subtypes Based on the Stemness Index Predict Prognosis in Glioma Patients
Published in
Frontiers in Genetics, March 2021
DOI 10.3389/fgene.2021.616507
Pubmed ID
Authors

Jun Tan, Hecheng Zhu, Guihua Tang, Hongwei Liu, Siyi Wanggou, Yudong Cao, Zhaoqi Xin, Quanwei Zhou, Chaohong Zhan, Zhaoping Wu, Youwei Guo, Zhipeng Jiang, Ming Zhao, Caiping Ren, Xingjun Jiang, Wen Yin

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 20%
Student > Bachelor 2 13%
Student > Doctoral Student 1 7%
Student > Ph. D. Student 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 6 40%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 20%
Biochemistry, Genetics and Molecular Biology 2 13%
Unspecified 2 13%
Nursing and Health Professions 1 7%
Medicine and Dentistry 1 7%
Other 0 0%
Unknown 6 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 April 2021.
All research outputs
#13,218,191
of 23,289,753 outputs
Outputs from Frontiers in Genetics
#2,822
of 12,302 outputs
Outputs of similar age
#190,765
of 419,827 outputs
Outputs of similar age from Frontiers in Genetics
#115
of 529 outputs
Altmetric has tracked 23,289,753 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,302 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 75% of its peers.
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 419,827 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 53% of its contemporaries.
We're also able to compare this research output to 529 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.