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Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling

Overview of attention for article published in Frontiers in Genetics, May 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
4 Mendeley
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Title
Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling
Published in
Frontiers in Genetics, May 2022
DOI 10.3389/fgene.2022.897886
Pubmed ID
Authors

Qiang-Sheng Wang, Qi-Qin Shi, Ye Meng, Meng-Ping Chen, Jian Hou

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 25%
Unknown 3 75%
Readers by discipline Count As %
Mathematics 1 25%
Unknown 3 75%
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 13 June 2022.
All research outputs
#13,128,816
of 22,663,969 outputs
Outputs from Frontiers in Genetics
#2,918
of 11,727 outputs
Outputs of similar age
#174,554
of 436,615 outputs
Outputs of similar age from Frontiers in Genetics
#129
of 899 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,727 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 73% 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 436,615 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 58% of its contemporaries.
We're also able to compare this research output to 899 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.