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Mendeley readers
Attention Score in Context
| Title |
Using an optimized generative model to infer the progression of complications in type 2 diabetes patients
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2022
|
| DOI | 10.1186/s12911-022-01915-5 |
| Pubmed ID | |
| Authors |
Xiaoxia Wang, Yifei Lin, Yun Xiong, Suhua Zhang, Yanming He, Yuqing He, Zhikun Zhang, Joseph M. Plasek, Li Zhou, David W. Bates, Chunlei Tang |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 17% |
| Unspecified | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Librarian | 1 | 8% |
| Unknown | 7 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 8% |
| Nursing and Health Professions | 1 | 8% |
| Computer Science | 1 | 8% |
| Unknown | 9 | 75% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 23 March 2023.
All research outputs
#4,356,828
of 23,575,882 outputs
Outputs from BMC Medical Informatics and Decision Making
#377
of 2,028 outputs
Outputs of similar age
#91,979
of 438,863 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 56 outputs
Altmetric has tracked 23,575,882 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,028 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 80% 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 438,863 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 78% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.