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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Review of Integrative Imputation for Multi-Omics Datasets
|
|---|---|
| Published in |
Frontiers in Genetics, October 2020
|
| DOI | 10.3389/fgene.2020.570255 |
| Pubmed ID | |
| Authors |
Meng Song, Jonathan Greenbaum, Joseph Luttrell, Weihua Zhou, Chong Wu, Hui Shen, Ping Gong, Chaoyang Zhang, Hong-Wen Deng |
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 % |
|---|---|---|
| India | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 137 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 23% |
| Researcher | 17 | 12% |
| Student > Master | 12 | 9% |
| Student > Bachelor | 11 | 8% |
| Student > Doctoral Student | 7 | 5% |
| Other | 16 | 12% |
| Unknown | 42 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 31 | 23% |
| Agricultural and Biological Sciences | 14 | 10% |
| Computer Science | 12 | 9% |
| Medicine and Dentistry | 6 | 4% |
| Psychology | 3 | 2% |
| Other | 19 | 14% |
| Unknown | 52 | 38% |
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 21 November 2020.
All research outputs
#15,152,619
of 23,305,591 outputs
Outputs from Frontiers in Genetics
#4,617
of 12,324 outputs
Outputs of similar age
#243,899
of 416,354 outputs
Outputs of similar age from Frontiers in Genetics
#174
of 446 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,324 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 55% 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 416,354 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 446 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.