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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accuracy of random-forest-based imputation of missing data in the presence of non-normality, non-linearity, and interaction
|
|---|---|
| Published in |
BMC Medical Research Methodology, July 2020
|
| DOI | 10.1186/s12874-020-01080-1 |
| Pubmed ID | |
| Authors |
Shangzhi Hong, Henry S. Lynn |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 162 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 13% |
| Student > Master | 17 | 10% |
| Researcher | 12 | 7% |
| Student > Bachelor | 11 | 7% |
| Student > Doctoral Student | 7 | 4% |
| Other | 22 | 14% |
| Unknown | 72 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 15 | 9% |
| Computer Science | 14 | 9% |
| Agricultural and Biological Sciences | 8 | 5% |
| Biochemistry, Genetics and Molecular Biology | 6 | 4% |
| Mathematics | 6 | 4% |
| Other | 33 | 20% |
| Unknown | 80 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 12 June 2023.
All research outputs
#6,855,601
of 25,211,948 outputs
Outputs from BMC Medical Research Methodology
#1,023
of 2,252 outputs
Outputs of similar age
#136,230
of 405,022 outputs
Outputs of similar age from BMC Medical Research Methodology
#44
of 65 outputs
Altmetric has tracked 25,211,948 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 2,252 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has gotten more attention than average, scoring higher than 54% 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 405,022 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 66% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.