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A Random Walk-Based Method to Identify Candidate Genes Associated With Lymphoma

Overview of attention for article published in Frontiers in Genetics, November 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 (62nd percentile)

Mentioned by

twitter
2 X users

Citations

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4 Dimensions

Readers on

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5 Mendeley
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Title
A Random Walk-Based Method to Identify Candidate Genes Associated With Lymphoma
Published in
Frontiers in Genetics, November 2021
DOI 10.3389/fgene.2021.792754
Pubmed ID
Authors

Minjie Sheng, Haiying Cai, Qin Yang, Jing Li, Jian Zhang, Lihua Liu

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Student > Doctoral Student 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 40%
Computer Science 1 20%
Agricultural and Biological Sciences 1 20%
Unknown 1 20%
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 14 December 2021.
All research outputs
#14,741,936
of 22,691,736 outputs
Outputs from Frontiers in Genetics
#4,433
of 11,754 outputs
Outputs of similar age
#256,078
of 498,154 outputs
Outputs of similar age from Frontiers in Genetics
#229
of 767 outputs
Altmetric has tracked 22,691,736 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 11,754 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 54% 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 498,154 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 767 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 62% of its contemporaries.