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X Demographics
Mendeley readers
Attention Score in Context
Title |
Lipidomic identification of urinary extracellular vesicles for non-alcoholic steatohepatitis diagnosis
|
---|---|
Published in |
Journal of Nanobiotechnology, July 2022
|
DOI | 10.1186/s12951-022-01540-4 |
Pubmed ID | |
Authors |
Qingfu Zhu, Hengrui Li, Zheng Ao, Hao Xu, Jiaxin luo, Connor Kaurich, Rui Yang, Pei-Wu Zhu, Sui-Dan Chen, Xiao-Dong Wang, Liang-Jie Tang, Gang Li, Ou-Yang Huang, Ming-Hua Zheng, Hui-Ping Li, Fei Liu |
X Demographics
The data shown below were collected from the profiles of 9 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 | 3 | 33% |
United Kingdom | 2 | 22% |
Australia | 1 | 11% |
Unknown | 3 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 56% |
Scientists | 3 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 4 | 20% |
Student > Doctoral Student | 1 | 5% |
Professor | 1 | 5% |
Student > Ph. D. Student | 1 | 5% |
Student > Master | 1 | 5% |
Other | 1 | 5% |
Unknown | 11 | 55% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 20% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
Agricultural and Biological Sciences | 1 | 5% |
Computer Science | 1 | 5% |
Medicine and Dentistry | 1 | 5% |
Other | 1 | 5% |
Unknown | 11 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 October 2022.
All research outputs
#7,060,727
of 25,837,817 outputs
Outputs from Journal of Nanobiotechnology
#262
of 1,986 outputs
Outputs of similar age
#122,968
of 434,634 outputs
Outputs of similar age from Journal of Nanobiotechnology
#10
of 114 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,986 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 86% 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 434,634 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 71% of its contemporaries.
We're also able to compare this research output to 114 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 91% of its contemporaries.