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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Rationale and design of the GOLDEN BRIDGE II: a cluster-randomised multifaceted intervention trial of an artificial intelligence-based cerebrovascular disease clinical decision support system to improve stroke outcomes and care quality in China
|
|---|---|
| Published in |
Stroke and Vascular Neurology, September 2023
|
| DOI | 10.1136/svn-2023-002411 |
| Pubmed ID | |
| Authors |
Zixiao Li, Xinmiao Zhang, Lingling Ding, Jing Jing, Hong-Qiu Gu, Yong Jiang, Xia Meng, Chunying Du, Chunjuan Wang, Meng Wang, Man Xu, Yanxu Zhang, Meera Hu, Hao Li, Xiping Gong, Kehui Dong, Xingquan Zhao, Yilong Wang, Liping Liu, Ying Xian, Eric Peterson, Gregg C Fonarow, Lee H Schwamm, Yongjun Wang |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 1 | 13% |
| Unknown | 7 | 88% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 15 March 2024.
All research outputs
#2,828,672
of 25,492,047 outputs
Outputs from Stroke and Vascular Neurology
#67
of 422 outputs
Outputs of similar age
#46,039
of 352,478 outputs
Outputs of similar age from Stroke and Vascular Neurology
#3
of 25 outputs
Altmetric has tracked 25,492,047 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 422 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. 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 352,478 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 86% of its contemporaries.
We're also able to compare this research output to 25 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 92% of its contemporaries.