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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning to predict futile recanalization of large vessel occlusion before and after endovascular thrombectomy
|
|---|---|
| Published in |
Frontiers in Neurology, August 2022
|
| DOI | 10.3389/fneur.2022.909403 |
| Pubmed ID | |
| Authors |
Xinping Lin, Xiaohan Zheng, Juan Zhang, Xiaoli Cui, Daizu Zou, Zheng Zhao, Xiding Pan, Qiong Jie, Yuezhang Wu, Runze Qiu, Junshan Zhou, Nihong Chen, Li Tang, Chun Ge, Jianjun Zou |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 22% |
| Other | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Student > Doctoral Student | 1 | 11% |
| Researcher | 1 | 11% |
| Other | 1 | 11% |
| Unknown | 2 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 22% |
| Nursing and Health Professions | 1 | 11% |
| Neuroscience | 1 | 11% |
| Business, Management and Accounting | 1 | 11% |
| Unknown | 4 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 05 September 2022.
All research outputs
#18,733,166
of 23,885,338 outputs
Outputs from Frontiers in Neurology
#7,565
of 12,926 outputs
Outputs of similar age
#286,995
of 418,840 outputs
Outputs of similar age from Frontiers in Neurology
#319
of 832 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,926 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 418,840 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 832 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 55% of its contemporaries.