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X Demographics
Mendeley readers
Attention Score in Context
Title |
Adopting Text Mining on Rehabilitation Therapy Repositioning for Stroke
|
---|---|
Published in |
Frontiers in Neuroinformatics, March 2019
|
DOI | 10.3389/fninf.2019.00017 |
Pubmed ID | |
Authors |
Guilin Meng, Yong Huang, Qi Yu, Ying Ding, David Wild, Yanxin Zhao, Xueyuan Liu, Min Song |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 47 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 9% |
Professor | 3 | 6% |
Student > Ph. D. Student | 3 | 6% |
Lecturer | 2 | 4% |
Student > Doctoral Student | 2 | 4% |
Other | 6 | 13% |
Unknown | 27 | 57% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 6 | 13% |
Medicine and Dentistry | 4 | 9% |
Engineering | 3 | 6% |
Computer Science | 2 | 4% |
Social Sciences | 2 | 4% |
Other | 3 | 6% |
Unknown | 27 | 57% |
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 31 March 2019.
All research outputs
#18,670,143
of 23,132,033 outputs
Outputs from Frontiers in Neuroinformatics
#631
of 759 outputs
Outputs of similar age
#266,109
of 351,872 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#17
of 25 outputs
Altmetric has tracked 23,132,033 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 759 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 9th percentile – i.e., 9% 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 351,872 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
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 is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.