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miR-17-92 expression in differentiated T cells - implications for cancer immunotherapy

Overview of attention for article published in Journal of Translational Medicine, January 2010
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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)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
86 Mendeley
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Title
miR-17-92 expression in differentiated T cells - implications for cancer immunotherapy
Published in
Journal of Translational Medicine, January 2010
DOI 10.1186/1479-5876-8-17
Pubmed ID
Authors

Kotaro Sasaki, Gary Kohanbash, Aki Hoji, Ryo Ueda, Heather A McDonald, Todd A Reinhart, Jeremy Martinson, Michael T Lotze, Francesco M Marincola, Ena Wang, Mitsugu Fujita, Hideho Okada

Abstract

Type-1 T cells are critical for effective anti-tumor immune responses. The recently discovered microRNAs (miRs) are a large family of small regulatory RNAs that control diverse aspects of cell function, including immune regulation. We identified miRs differentially regulated between type-1 and type-2 T cells, and determined how the expression of such miRs is regulated.

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
Germany 2 2%
Italy 1 1%
Switzerland 1 1%
Hong Kong 1 1%
Unknown 77 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 30%
Researcher 22 26%
Student > Master 9 10%
Student > Bachelor 7 8%
Student > Doctoral Student 7 8%
Other 15 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 52%
Medicine and Dentistry 15 17%
Biochemistry, Genetics and Molecular Biology 12 14%
Unspecified 8 9%
Chemistry 3 3%
Other 3 3%

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 16 July 2013.
All research outputs
#2,173,573
of 12,450,491 outputs
Outputs from Journal of Translational Medicine
#323
of 2,446 outputs
Outputs of similar age
#52,844
of 270,112 outputs
Outputs of similar age from Journal of Translational Medicine
#13
of 100 outputs
Altmetric has tracked 12,450,491 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,446 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 well, scoring higher than 85% 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 270,112 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 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.