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Bioinformatics and survival analysis of glia maturation factor-γ in pan-cancers

Overview of attention for article published in BMC Cancer, April 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
2 X users

Citations

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11 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Bioinformatics and survival analysis of glia maturation factor-γ in pan-cancers
Published in
BMC Cancer, April 2021
DOI 10.1186/s12885-021-08163-2
Pubmed ID
Authors

Aihua Lan, Chunxia Ren, Xiaoling Wang, Guoqing Tong, Gong Yang

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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 13%
Student > Master 2 13%
Researcher 2 13%
Student > Doctoral Student 1 6%
Unknown 9 56%
Readers by discipline Count As %
Medicine and Dentistry 4 25%
Chemistry 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Unknown 10 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 April 2021.
All research outputs
#15,577,316
of 23,923,788 outputs
Outputs from BMC Cancer
#3,824
of 8,545 outputs
Outputs of similar age
#247,763
of 436,638 outputs
Outputs of similar age from BMC Cancer
#109
of 315 outputs
Altmetric has tracked 23,923,788 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,545 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 50% 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 436,638 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 315 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.