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X Demographics
Mendeley readers
Attention Score in Context
| Title |
HTLV-I Tax Increases Genetic Instability by Inducing DNA Double Strand Breaks during DNA Replication and Switching Repair to NHEJ
|
|---|---|
| Published in |
PLOS ONE, August 2012
|
| DOI | 10.1371/journal.pone.0042226 |
| Pubmed ID | |
| Authors |
Hicham H. Baydoun, Xue Tao Bai, Shary Shelton, Christophe Nicot |
| Abstract |
Appropriate responses to damaged DNA are indispensible for preserving genome stability and preventing cancer. Tumor viruses often target DNA repair machinery to achieve transformation. The Human T-cell leukemia virus type I (HTLV-I) is the only known transforming human retrovirus and the etiological agent of Adult T-cell Leukemia (ATLL). Although HTLV-I-transformed leukemic cells have numerous genetic lesions, the precise role of the viral tax gene in this process is not fully understood. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 2% |
| Unknown | 47 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 25% |
| Student > Ph. D. Student | 9 | 19% |
| Student > Doctoral Student | 6 | 13% |
| Student > Master | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Other | 7 | 15% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 29% |
| Agricultural and Biological Sciences | 8 | 17% |
| Immunology and Microbiology | 5 | 10% |
| Medicine and Dentistry | 5 | 10% |
| Computer Science | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 9 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 25 August 2012.
All research outputs
#15,249,959
of 22,675,759 outputs
Outputs from PLOS ONE
#129,864
of 193,562 outputs
Outputs of similar age
#107,503
of 169,121 outputs
Outputs of similar age from PLOS ONE
#2,811
of 4,312 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,562 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. 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 169,121 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,312 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.