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X Demographics
Attention Score in Context
Title |
Inference of regulatory networks through temporally sparse data
|
---|---|
Published in |
arXiv, December 2022
|
DOI | 10.3389/fcteg.2022.1017256 |
Pubmed ID | |
Authors |
Mohammad Alali, Mahdi Imani |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
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 24 January 2023.
All research outputs
#16,276,542
of 26,491,397 outputs
Outputs from arXiv
#248,611
of 1,002,161 outputs
Outputs of similar age
#231,138
of 498,808 outputs
Outputs of similar age from arXiv
#7,200
of 29,224 outputs
Altmetric has tracked 26,491,397 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,002,161 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 74% 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 498,808 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 52% of its contemporaries.
We're also able to compare this research output to 29,224 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.