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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 (#15 of 506)
  • 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
48 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
4 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 48 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 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 %
Other 2 50%
Unspecified 2 50%
Researcher 1 25%
Student > Ph. D. Student 1 25%
Readers by discipline Count As %
Medicine and Dentistry 4 100%
Unspecified 2 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 67. 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 16 February 2019.
All research outputs
#222,575
of 12,527,715 outputs
Outputs from Blood Cancer Journal
#15
of 506 outputs
Outputs of similar age
#9,518
of 257,546 outputs
Outputs of similar age from Blood Cancer Journal
#1
of 33 outputs
Altmetric has tracked 12,527,715 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 506 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. 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 257,546 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.