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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterization of simian T-cell leukemia virus type 1 in naturally infected Japanese macaques as a model of HTLV-1 infection
|
|---|---|
| Published in |
Retrovirology, October 2013
|
| DOI | 10.1186/1742-4690-10-118 |
| Pubmed ID | |
| Authors |
Michi Miura, Jun-ichiro Yasunaga, Junko Tanabe, Kenji Sugata, Tiejun Zhao, Guangyong Ma, Paola Miyazato, Koichi Ohshima, Akihisa Kaneko, Akino Watanabe, Akatsuki Saito, Hirofumi Akari, Masao Matsuoka |
| Abstract |
Human T-cell leukemia virus type 1 (HTLV-1) causes chronic infection leading to development of adult T-cell leukemia (ATL) and inflammatory diseases. Non-human primates infected with simian T-cell leukemia virus type 1 (STLV-1) are considered to constitute a suitable animal model for HTLV-1 research. However, the function of the regulatory and accessory genes of STLV-1 has not been analyzed in detail. In this study, STLV-1 in naturally infected Japanese macaques was analyzed. |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 3% |
| Brazil | 1 | 3% |
| Unknown | 38 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 25% |
| Student > Master | 6 | 15% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Postgraduate | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 28% |
| Agricultural and Biological Sciences | 10 | 25% |
| Biochemistry, Genetics and Molecular Biology | 5 | 13% |
| Immunology and Microbiology | 4 | 10% |
| Neuroscience | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 6 | 15% |
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 26 October 2013.
All research outputs
#17,700,887
of 22,727,570 outputs
Outputs from Retrovirology
#914
of 1,104 outputs
Outputs of similar age
#151,489
of 211,997 outputs
Outputs of similar age from Retrovirology
#31
of 50 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,104 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 13th percentile – i.e., 13% 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 211,997 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.