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A Two-Gene Signature, SKI and SLAMF1, Predicts Time-to-Treatment in Previously Untreated Patients with Chronic Lymphocytic Leukemia

Overview of attention for article published in PLOS ONE, December 2011
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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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
32 Mendeley
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Title
A Two-Gene Signature, SKI and SLAMF1, Predicts Time-to-Treatment in Previously Untreated Patients with Chronic Lymphocytic Leukemia
Published in
PLOS ONE, December 2011
DOI 10.1371/journal.pone.0028277
Pubmed ID
Authors

Carmen D. Schweighofer, Kevin R. Coombes, Lynn L. Barron, Lixia Diao, Rachel J. Newman, Alessandra Ferrajoli, Susan O'Brien, William G. Wierda, Rajyalakshmi Luthra, L. Jeffrey Medeiros, Michael J. Keating, Lynne V. Abruzzo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 22%
Student > Ph. D. Student 6 19%
Other 3 9%
Student > Bachelor 3 9%
Student > Master 2 6%
Other 3 9%
Unknown 8 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 41%
Medicine and Dentistry 5 16%
Biochemistry, Genetics and Molecular Biology 3 9%
Mathematics 1 3%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 8 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 January 2022.
All research outputs
#4,714,833
of 22,867,327 outputs
Outputs from PLOS ONE
#64,595
of 195,069 outputs
Outputs of similar age
#40,532
of 243,170 outputs
Outputs of similar age from PLOS ONE
#640
of 3,000 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 195,069 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 66% 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 243,170 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 3,000 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.