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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Highly sensitive Curcumin-conjugated nanotheranostic platform for detecting amyloid-beta plaques by magnetic resonance imaging and reversing cognitive deficits of Alzheimer's disease via NLRP3-inhibition
|
|---|---|
| Published in |
Journal of Nanobiotechnology, July 2022
|
| DOI | 10.1186/s12951-022-01524-4 |
| Pubmed ID | |
| Authors |
Yuting Ruan, Ying Xiong, Wenli Fang, Qun Yu, Yingren Mai, Zhiyu Cao, Kexi Wang, Ming Lei, Jiaxin Xu, Yan Liu, Xingcai Zhang, Wang Liao, Jun Liu |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hong Kong | 1 | 20% |
| Germany | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 13% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Bachelor | 3 | 8% |
| Researcher | 3 | 8% |
| Professor > Associate Professor | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 19 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 8% |
| Neuroscience | 3 | 8% |
| Chemistry | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 20 | 51% |
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 20 September 2022.
All research outputs
#14,523,220
of 25,262,379 outputs
Outputs from Journal of Nanobiotechnology
#458
of 1,889 outputs
Outputs of similar age
#175,287
of 428,258 outputs
Outputs of similar age from Journal of Nanobiotechnology
#28
of 121 outputs
Altmetric has tracked 25,262,379 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,889 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 74% 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 428,258 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 58% of its contemporaries.
We're also able to compare this research output to 121 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.