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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records
|
|---|---|
| Published in |
IEEE Transactions on Big Data, October 2023
|
| DOI | 10.1109/tbdata.2023.3328433 |
| Authors |
Wenrui Li, Xiaoyu Wang, Yuetian Sun, Snezana Milanovic, Mark Kon, Julio Enrique Castrillón-Candás |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 1 | 25% |
| Lecturer > Senior Lecturer | 1 | 25% |
| Student > Master | 1 | 25% |
| Unknown | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 50% |
| Business, Management and Accounting | 1 | 25% |
| Mathematics | 1 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 April 2024.
All research outputs
#15,367,630
of 25,670,640 outputs
Outputs from IEEE Transactions on Big Data
#74
of 280 outputs
Outputs of similar age
#152,566
of 363,264 outputs
Outputs of similar age from IEEE Transactions on Big Data
#2
of 5 outputs
Altmetric has tracked 25,670,640 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 280 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 72% 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 363,264 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.