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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Intelligent virtual case learning system based on real medical records and natural language processing
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, March 2022
|
| DOI | 10.1186/s12911-022-01797-7 |
| Pubmed ID | |
| Authors |
Mengying Wang, Zhen Sun, Mo Jia, Yan Wang, Heng Wang, Xingxing Zhu, Lianzhong Chen, Hong Ji |
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% |
| France | 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 95 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 12 | 13% |
| Student > Ph. D. Student | 6 | 6% |
| Student > Doctoral Student | 6 | 6% |
| Professor > Associate Professor | 5 | 5% |
| Student > Master | 5 | 5% |
| Other | 13 | 14% |
| Unknown | 48 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 8 | 8% |
| Medicine and Dentistry | 7 | 7% |
| Computer Science | 4 | 4% |
| Nursing and Health Professions | 4 | 4% |
| Arts and Humanities | 4 | 4% |
| Other | 17 | 18% |
| Unknown | 51 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 28 February 2023.
All research outputs
#3,507,279
of 25,155,561 outputs
Outputs from BMC Medical Informatics and Decision Making
#278
of 2,133 outputs
Outputs of similar age
#77,810
of 436,171 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#7
of 54 outputs
Altmetric has tracked 25,155,561 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,133 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 86% 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 436,171 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 82% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.