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Comprehensive analysis of SPAG1 expression as a prognostic and predictive biomarker in acute myeloid leukemia by integrative bioinformatics and clinical validation

Overview of attention for article published in BMC Medical Genomics, February 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Comprehensive analysis of SPAG1 expression as a prognostic and predictive biomarker in acute myeloid leukemia by integrative bioinformatics and clinical validation
Published in
BMC Medical Genomics, February 2022
DOI 10.1186/s12920-022-01193-0
Pubmed ID
Authors

Yu Gu, Ming-qiang Chu, Zi-jun Xu, Qian Yuan, Ting-juan Zhang, Jiang Lin, Jing-dong Zhou

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

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Unspecified 1 13%
Student > Master 1 13%
Unknown 4 50%
Readers by discipline Count As %
Computer Science 2 25%
Biochemistry, Genetics and Molecular Biology 2 25%
Unspecified 1 13%
Unknown 3 38%
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 02 March 2022.
All research outputs
#13,696,157
of 23,243,271 outputs
Outputs from BMC Medical Genomics
#511
of 1,245 outputs
Outputs of similar age
#192,693
of 441,287 outputs
Outputs of similar age from BMC Medical Genomics
#11
of 41 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,245 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 56% 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 441,287 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 54% of its contemporaries.
We're also able to compare this research output to 41 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 70% of its contemporaries.