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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Nearest neighbor imputation algorithms: a critical evaluation
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2016
|
| DOI | 10.1186/s12911-016-0318-z |
| Pubmed ID | |
| Authors |
Lorenzo Beretta, Alessandro Santaniello |
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 % |
|---|---|---|
| Canada | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 372 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 370 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 64 | 17% |
| Student > Master | 43 | 12% |
| Student > Bachelor | 43 | 12% |
| Researcher | 40 | 11% |
| Student > Doctoral Student | 18 | 5% |
| Other | 51 | 14% |
| Unknown | 113 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 44 | 12% |
| Engineering | 38 | 10% |
| Biochemistry, Genetics and Molecular Biology | 22 | 6% |
| Medicine and Dentistry | 22 | 6% |
| Mathematics | 19 | 5% |
| Other | 86 | 23% |
| Unknown | 141 | 38% |
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 24 March 2023.
All research outputs
#16,870,111
of 24,804,602 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,393
of 2,115 outputs
Outputs of similar age
#246,181
of 374,055 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#26
of 39 outputs
Altmetric has tracked 24,804,602 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,115 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 25th percentile – i.e., 25% 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 374,055 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.