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Meromorphic functions sharing small functions with their linear difference polynomials

Overview of attention for article published in Advances in Continuous and Discrete Models, March 2013
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Title
Meromorphic functions sharing small functions with their linear difference polynomials
Published in
Advances in Continuous and Discrete Models, March 2013
DOI 10.1186/1687-1847-2013-58
Authors

Sheng Li, BaoQin Chen

Attention Score in Context

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 18 March 2013.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Advances in Continuous and Discrete Models
#131
of 189 outputs
Outputs of similar age
#196,038
of 222,521 outputs
Outputs of similar age from Advances in Continuous and Discrete Models
#4
of 12 outputs
Altmetric has tracked 25,373,627 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 189 research outputs from this source. They receive a mean Attention Score of 1.6. 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 222,521 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 12 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.