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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, November 2019
|
| DOI | 10.3389/fbioe.2019.00330 |
| Pubmed ID | |
| Authors |
Xibo Ma, Lei Chen, Yingcheng Yang, Weiqi Zhang, Peixia Wang, Kun Zhang, Bo Zheng, Lin Zhu, Zheng Sun, Shuai Zhang, Yingkun Guo, Minmin Liang, Hongyang Wang, Jie Tian |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 2 | 33% |
| Mexico | 1 | 17% |
| Switzerland | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 9% |
| Student > Master | 2 | 9% |
| Student > Postgraduate | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Librarian | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 11 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 13% |
| Computer Science | 2 | 9% |
| Agricultural and Biological Sciences | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 14 | 61% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 06 January 2020.
All research outputs
#7,001,266
of 23,577,654 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,091
of 7,169 outputs
Outputs of similar age
#147,319
of 460,299 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#38
of 181 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,169 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 84% 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 460,299 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 67% of its contemporaries.
We're also able to compare this research output to 181 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.