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Retraction Note: New Riesz representations of linear maps associated with certain boundary value problems and their applications

Overview of attention for article published in Boundary Value Problems, May 2019
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About this Attention Score

  • Among the highest-scoring outputs from this source (#24 of 166)
  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
1 Mendeley
Title
Retraction Note: New Riesz representations of linear maps associated with certain boundary value problems and their applications
Published in
Boundary Value Problems, May 2019
DOI 10.1186/s13661-019-1208-y
Authors

Wei Yang, Jiannan Duan, Wenmin Hu, Jing Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 100%
Readers by discipline Count As %
Linguistics 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 03 February 2020.
All research outputs
#6,739,829
of 25,385,509 outputs
Outputs from Boundary Value Problems
#24
of 166 outputs
Outputs of similar age
#116,183
of 365,330 outputs
Outputs of similar age from Boundary Value Problems
#1
of 2 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 166 research outputs from this source. They receive a mean Attention Score of 1.3. This one has done well, scoring higher than 83% 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 365,330 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 68% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them