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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Self-partitioning SlipChip for slip-induced droplet formation and human papillomavirus viral load quantification with digital LAMP
|
|---|---|
| Published in |
Biosensors & Bioelectronics, February 2020
|
| DOI | 10.1016/j.bios.2020.112107 |
| Pubmed ID | |
| Authors |
Ziqing Yu, Weiyuan Lyu, Mengchao Yu, Qian Wang, Haijun Qu, Rustem F Ismagilov, Xu Han, Dongmei Lai, Feng Shen |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 19% |
| Student > Master | 7 | 10% |
| Researcher | 7 | 10% |
| Student > Doctoral Student | 6 | 9% |
| Student > Postgraduate | 4 | 6% |
| Other | 4 | 6% |
| Unknown | 28 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 20% |
| Engineering | 9 | 13% |
| Chemistry | 5 | 7% |
| Agricultural and Biological Sciences | 3 | 4% |
| Immunology and Microbiology | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 29 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 14 November 2023.
All research outputs
#8,098,676
of 25,728,855 outputs
Outputs from Biosensors & Bioelectronics
#2,048
of 6,908 outputs
Outputs of similar age
#144,065
of 384,057 outputs
Outputs of similar age from Biosensors & Bioelectronics
#18
of 55 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 6,908 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 384,057 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 61% of its contemporaries.
We're also able to compare this research output to 55 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 65% of its contemporaries.