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Comprehensive miRNA sequence analysis reveals survival differences in diffuse large B-cell lymphoma patients

Overview of attention for article published in Genome Biology (Online Edition), January 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
29 tweeters
patent
2 patents
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
86 Dimensions

Readers on

mendeley
122 Mendeley
citeulike
1 CiteULike
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Title
Comprehensive miRNA sequence analysis reveals survival differences in diffuse large B-cell lymphoma patients
Published in
Genome Biology (Online Edition), January 2015
DOI 10.1186/s13059-014-0568-y
Pubmed ID
Authors

Emilia L Lim, Diane L Trinh, David W Scott, Andy Chu, Martin Krzywinski, Yongjun Zhao, A Gordon Robertson, Andrew J Mungall, Jacqueline Schein, Merrill Boyle, Anja Mottok, Daisuke Ennishi, Nathalie A Johnson, Christian Steidl, Joseph M Connors, Ryan D Morin, Randy D Gascoyne, Marco A Marra

Twitter Demographics

The data shown below were collected from the profiles of 29 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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 2%
Netherlands 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Haiti 1 <1%
Unknown 115 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 24%
Researcher 20 16%
Student > Bachelor 11 9%
Student > Master 10 8%
Student > Postgraduate 9 7%
Other 26 21%
Unknown 17 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 25%
Medicine and Dentistry 29 24%
Biochemistry, Genetics and Molecular Biology 25 20%
Computer Science 6 5%
Immunology and Microbiology 4 3%
Other 10 8%
Unknown 18 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 09 May 2019.
All research outputs
#979,713
of 14,983,043 outputs
Outputs from Genome Biology (Online Edition)
#1,029
of 3,259 outputs
Outputs of similar age
#20,578
of 286,013 outputs
Outputs of similar age from Genome Biology (Online Edition)
#7
of 11 outputs
Altmetric has tracked 14,983,043 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,259 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.8. This one has gotten more attention than average, scoring higher than 68% 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 286,013 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 92% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.