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Prediction Model for Cereblon Expression in Bone Marrow Plasma Cells Based on Blood Markers in Multiple Myeloma Patients

Overview of attention for article published in Frontiers in oncology, July 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
5 Mendeley
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Title
Prediction Model for Cereblon Expression in Bone Marrow Plasma Cells Based on Blood Markers in Multiple Myeloma Patients
Published in
Frontiers in oncology, July 2021
DOI 10.3389/fonc.2021.687361
Pubmed ID
Authors

Byung-Hyun Lee, Ka-Won Kang, Min Ji Jeon, Eun Sang Yu, Dae Sik Kim, Ryeon Lee, Hwa Jung Sung, Yong Park, Chul Won Choi, Byung Soo Kim

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 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 %
Student > Ph. D. Student 1 20%
Researcher 1 20%
Student > Postgraduate 1 20%
Student > Doctoral Student 1 20%
Unknown 1 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 20%
Agricultural and Biological Sciences 1 20%
Medicine and Dentistry 1 20%
Design 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 02 August 2021.
All research outputs
#16,059,145
of 25,392,582 outputs
Outputs from Frontiers in oncology
#5,644
of 22,436 outputs
Outputs of similar age
#237,300
of 446,418 outputs
Outputs of similar age from Frontiers in oncology
#293
of 1,360 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,436 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 71% 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 446,418 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,360 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.