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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Reverse Genetics of Zika Virus
|
|---|---|
| Chapter number | 4 |
| Book title |
Reverse Genetics of RNA Viruses
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6964-7_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6962-3, 978-1-4939-6964-7, 978-1-4939-6962-3, 978-1-4939-6964-7
|
| Authors |
Chao Shan, Xuping Xie, Pei-Yong Shi, Shan, Chao, Xie, Xuping, Shi, Pei-Yong |
| Editors |
Daniel R. Perez |
| Abstract |
We have established a reverse genetic system for Zika virus (ZIKV). Five shuttle plasmids were constructed and assembled into the full-length cDNA clone of ZIKV genome. To ensure the stability of the cDNA clone, we used a low copy vector (pACYC177) and a set of unique restriction enzyme sites on the ZIKV genome to assemble the full-length cDNA clone. A T7 promoter was engineered in front of the viral 5' UTR for in vitro transcription. A hepatitis delta virus ribozyme (HDVr) sequence was engineered following the viral 3' UTR for generation of the authentic 3' end of the RNA transcript. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
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 % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 18% |
| Researcher | 6 | 15% |
| Student > Doctoral Student | 5 | 13% |
| Student > Bachelor | 4 | 10% |
| Lecturer | 2 | 5% |
| Other | 8 | 20% |
| Unknown | 8 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 23% |
| Biochemistry, Genetics and Molecular Biology | 6 | 15% |
| Agricultural and Biological Sciences | 4 | 10% |
| Social Sciences | 3 | 8% |
| Immunology and Microbiology | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 10 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 29 June 2023.
All research outputs
#14,699,323
of 24,654,957 outputs
Outputs from Methods in molecular biology
#3,956
of 13,869 outputs
Outputs of similar age
#223,182
of 430,512 outputs
Outputs of similar age from Methods in molecular biology
#333
of 1,078 outputs
Altmetric has tracked 24,654,957 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,869 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 69% 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 430,512 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,078 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.