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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cognitive Impairment of Patient With Neurological Cerebrovascular Disease Using the Artificial Intelligence Technology Guided by MRI
|
|---|---|
| Published in |
Frontiers in Public Health, March 2022
|
| DOI | 10.3389/fpubh.2021.813641 |
| Pubmed ID | |
| Authors |
Lifang Zhang, Yanran Li, Lin Bian, Qingrong Luo, Xiaoxi Zhang, Bing Zhao |
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 Kingdom | 2 | 67% |
| Switzerland | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 13% |
| Researcher | 2 | 13% |
| Lecturer | 1 | 6% |
| Other | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 9 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 13% |
| Neuroscience | 2 | 13% |
| Computer Science | 1 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 8 | 50% |
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 04 March 2022.
All research outputs
#18,111,817
of 23,269,984 outputs
Outputs from Frontiers in Public Health
#5,283
of 10,747 outputs
Outputs of similar age
#299,902
of 440,991 outputs
Outputs of similar age from Frontiers in Public Health
#412
of 965 outputs
Altmetric has tracked 23,269,984 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,747 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 43rd percentile – i.e., 43% 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 440,991 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 965 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.