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A post-transcriptional program of chemoresistance by AU-rich elements and TTP in quiescent leukemic cells

Overview of attention for article published in Genome Biology (Online Edition), February 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
21 Mendeley
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Title
A post-transcriptional program of chemoresistance by AU-rich elements and TTP in quiescent leukemic cells
Published in
Genome Biology (Online Edition), February 2020
DOI 10.1186/s13059-020-1936-4
Pubmed ID
Authors

Sooncheol Lee, Douglas Micalizzi, Samuel S. Truesdell, Syed I. A. Bukhari, Myriam Boukhali, Jennifer Lombardi-Story, Yasutaka Kato, Min-Kyung Choo, Ipsita Dey-Guha, Fei Ji, Benjamin T. Nicholson, David T. Myers, Dongjun Lee, Maria A. Mazzola, Radhika Raheja, Adam Langenbucher, Nicholas J. Haradhvala, Michael S. Lawrence, Roopali Gandhi, Christopher Tiedje, Manuel D. Diaz-Muñoz, David A. Sweetser, Ruslan Sadreyev, David Sykes, Wilhelm Haas, Daniel A. Haber, Shyamala Maheswaran, Shobha Vasudevan

Twitter Demographics

The data shown below were collected from the profiles of 7 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Researcher 4 19%
Student > Doctoral Student 3 14%
Student > Bachelor 2 10%
Student > Master 2 10%
Other 4 19%
Unknown 1 5%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 33%
Neuroscience 3 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Chemistry 2 10%
Immunology and Microbiology 1 5%
Other 3 14%
Unknown 3 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 February 2020.
All research outputs
#5,107,859
of 17,377,895 outputs
Outputs from Genome Biology (Online Edition)
#2,604
of 3,591 outputs
Outputs of similar age
#115,719
of 338,105 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 17,377,895 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 3,591 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 338,105 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them