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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A post-transcriptional program of chemoresistance by AU-rich elements and TTP in quiescent leukemic cells
|
|---|---|
| Published in |
Genome Biology, 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 |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 43% |
| Germany | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 43% |
| Scientists | 3 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 21% |
| Researcher | 5 | 15% |
| Student > Bachelor | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Professor > Associate Professor | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 10 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 21% |
| Chemistry | 3 | 9% |
| Neuroscience | 3 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Unspecified | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 12 | 36% |
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
#7,776,565
of 25,387,668 outputs
Outputs from Genome Biology
#3,367
of 4,470 outputs
Outputs of similar age
#161,642
of 475,876 outputs
Outputs of similar age from Genome Biology
#76
of 78 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 24th percentile – i.e., 24% 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 475,876 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 78 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.