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Mendeley readers
Attention Score in Context
| Title |
miR-17-92 expression in differentiated T cells - implications for cancer immunotherapy
|
|---|---|
| Published in |
Journal of Translational Medicine, February 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| Germany | 2 | 2% |
| Switzerland | 1 | <1% |
| Hong Kong | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 93 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 27% |
| Researcher | 27 | 26% |
| Student > Doctoral Student | 8 | 8% |
| Student > Master | 8 | 8% |
| Student > Bachelor | 7 | 7% |
| Other | 12 | 12% |
| Unknown | 12 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 44% |
| Medicine and Dentistry | 16 | 16% |
| Biochemistry, Genetics and Molecular Biology | 14 | 14% |
| Immunology and Microbiology | 5 | 5% |
| Chemistry | 3 | 3% |
| Other | 4 | 4% |
| Unknown | 15 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 20 November 2010.
All research outputs
#7,453,827
of 22,787,797 outputs
Outputs from Journal of Translational Medicine
#1,235
of 3,988 outputs
Outputs of similar age
#34,757
of 94,263 outputs
Outputs of similar age from Journal of Translational Medicine
#5
of 5 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,988 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 64% 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 94,263 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.