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X Demographics
Mendeley readers
Attention Score in Context
| Title |
New Multiscale Characterization Methodology for Effective Determination of Isolation–Structure–Function Relationship of Extracellular Vesicles
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, June 2021
|
| DOI | 10.3389/fbioe.2021.669537 |
| Pubmed ID | |
| Authors |
Thanh Huyen Phan, Shiva Kamini Divakarla, Jia Hao Yeo, Qingyu Lei, Priyanka Tharkar, Taisa Nogueira Pansani, Kathryn G. Leslie, Maggie Tong, Victoria A. Coleman, Åsa Jämting, Mar-Dean Du Plessis, Elizabeth J. New, Bill Kalionis, Philip Demokritou, Hyun-Kyung Woo, Yoon-Kyoung Cho, Wojciech Chrzanowski |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 4 | 29% |
| United Kingdom | 3 | 21% |
| Korea, Republic of | 2 | 14% |
| Switzerland | 1 | 7% |
| United States | 1 | 7% |
| Unknown | 3 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 79% |
| Scientists | 2 | 14% |
| Unknown | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 4 | 15% |
| Researcher | 4 | 15% |
| Student > Bachelor | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Lecturer | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 8 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 23% |
| Agricultural and Biological Sciences | 4 | 15% |
| Medicine and Dentistry | 3 | 12% |
| Engineering | 2 | 8% |
| Chemistry | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 09 April 2024.
All research outputs
#2,210,301
of 25,706,302 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#270
of 8,644 outputs
Outputs of similar age
#55,157
of 460,644 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#14
of 318 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,644 research outputs from this source. They receive a mean Attention Score of 3.5. 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 460,644 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 318 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 95% of its contemporaries.