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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Semantic categorization of Chinese eligibility criteria in clinical trials using machine learning methods
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, April 2021
|
| DOI | 10.1186/s12911-021-01487-w |
| Pubmed ID | |
| Authors |
Hui Zong, Jinxuan Yang, Zeyu Zhang, Zuofeng Li, Xiaoyan Zhang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 13% |
| Student > Postgraduate | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Student > Master | 2 | 9% |
| Other | 1 | 4% |
| Other | 5 | 22% |
| Unknown | 8 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 13% |
| Engineering | 2 | 9% |
| Computer Science | 2 | 9% |
| Nursing and Health Professions | 1 | 4% |
| Arts and Humanities | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 12 | 52% |
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 16 April 2021.
All research outputs
#20,707,815
of 23,308,124 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,832
of 2,024 outputs
Outputs of similar age
#366,672
of 435,301 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#52
of 57 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 435,301 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.