Title |
Identification and characterization of alphavirus M1 as a selective oncolytic virus targeting ZAP-defective human cancers
|
---|---|
Published in |
Proceedings of the National Academy of Sciences of the United States of America, October 2014
|
DOI | 10.1073/pnas.1408759111 |
Pubmed ID | |
Authors |
Yuan Lin, Haipeng Zhang, Jiankai Liang, Kai Li, Wenbo Zhu, Liwu Fu, Fang Wang, Xiaoke Zheng, Huijuan Shi, Sihan Wu, Xiao Xiao, Lijun Chen, Lipeng Tang, Min Yan, Xiaoxiao Yang, Yaqian Tan, Pengxin Qiu, Yijun Huang, Wei Yin, Xinwen Su, Haiyan Hu, Jun Hu, Guangmei Yan |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 3 | 2% |
United States | 1 | <1% |
Unknown | 166 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 36 | 21% |
Researcher | 35 | 21% |
Student > Master | 20 | 12% |
Student > Bachelor | 20 | 12% |
Student > Doctoral Student | 18 | 11% |
Other | 17 | 10% |
Unknown | 24 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 51 | 30% |
Biochemistry, Genetics and Molecular Biology | 25 | 15% |
Medicine and Dentistry | 14 | 8% |
Immunology and Microbiology | 14 | 8% |
Chemistry | 11 | 6% |
Other | 28 | 16% |
Unknown | 27 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 207. 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 21 February 2020.
All research outputs
#191,532
of 25,837,817 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#3,670
of 103,917 outputs
Outputs of similar age
#1,725
of 270,942 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#63
of 931 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103,917 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. This one has done particularly well, scoring higher than 96% 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 270,942 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 931 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.