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Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry

Overview of attention for article published in Blood Cancer Journal, October 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
twitter
49 X users

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry
Published in
Blood Cancer Journal, October 2018
DOI 10.1038/s41408-018-0132-1
Pubmed ID
Authors

Linda B. Baughn, Kathryn Pearce, Dirk Larson, Mei-Yin Polley, Eran Elhaik, Michael Baird, Colin Colby, Joanne Benson, Zhuo Li, Yan Asmann, Terry Therneau, James R. Cerhan, Celine M. Vachon, A. Keith Stewart, P. Leif Bergsagel, Angela Dispenzieri, Shaji Kumar, S. Vincent Rajkumar

X Demographics

X Demographics

The data shown below were collected from the profiles of 49 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Other 6 14%
Student > Ph. D. Student 5 12%
Student > Doctoral Student 4 10%
Researcher 4 10%
Professor 2 5%
Other 5 12%
Unknown 16 38%
Readers by discipline Count As %
Medicine and Dentistry 14 33%
Biochemistry, Genetics and Molecular Biology 5 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Unspecified 1 2%
Agricultural and Biological Sciences 1 2%
Other 3 7%
Unknown 16 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 66. 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 May 2023.
All research outputs
#656,492
of 25,732,188 outputs
Outputs from Blood Cancer Journal
#53
of 1,300 outputs
Outputs of similar age
#14,058
of 358,174 outputs
Outputs of similar age from Blood Cancer Journal
#2
of 36 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,300 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has done particularly well, scoring higher than 95% 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 358,174 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.