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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inferring Regulatory Networks From Mixed Observational Data Using Directed Acyclic Graphs
|
|---|---|
| Published in |
Frontiers in Genetics, February 2020
|
| DOI | 10.3389/fgene.2020.00008 |
| Pubmed ID | |
| Authors |
Wujuan Zhong, Li Dong, Taylor B. Poston, Toni Darville, Cassandra N. Spracklen, Di Wu, Karen L. Mohlke, Yun Li, Quefeng Li, Xiaojing Zheng |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 10% |
| Researcher | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Student > Bachelor | 1 | 5% |
| Other | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 10 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 3 | 15% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Engineering | 2 | 10% |
| Immunology and Microbiology | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 9 | 45% |
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 11 February 2020.
All research outputs
#20,604,769
of 23,192,960 outputs
Outputs from Frontiers in Genetics
#8,818
of 12,228 outputs
Outputs of similar age
#376,150
of 449,953 outputs
Outputs of similar age from Frontiers in Genetics
#266
of 357 outputs
Altmetric has tracked 23,192,960 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,228 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% 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 449,953 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 357 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.