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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
  • Among the highest-scoring outputs from this source (#14 of 581)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
twitter
50 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
11 Mendeley
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

Twitter Demographics

The data shown below were collected from the profiles of 50 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 27%
Student > Ph. D. Student 2 18%
Other 2 18%
Researcher 2 18%
Student > Doctoral Student 1 9%
Other 1 9%
Readers by discipline Count As %
Medicine and Dentistry 5 45%
Unspecified 3 27%
Biochemistry, Genetics and Molecular Biology 1 9%
Social Sciences 1 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 68. 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 October 2019.
All research outputs
#257,229
of 13,642,813 outputs
Outputs from Blood Cancer Journal
#14
of 581 outputs
Outputs of similar age
#9,848
of 263,484 outputs
Outputs of similar age from Blood Cancer Journal
#1
of 33 outputs
Altmetric has tracked 13,642,813 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 581 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 97% 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 263,484 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 33 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 96% of its contemporaries.