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X Demographics
Mendeley readers
Attention Score in Context
Title |
Interpolation of Morrey-Campanato and related smoothness spaces
|
---|---|
Published in |
Science China Mathematics, July 2015
|
DOI | 10.1007/s11425-015-5047-8 |
Authors |
Wen Yuan, Winfried Sickel, DaChun Yang |
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 % |
---|---|---|
Unknown | 3 | 100% |
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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 10% |
Professor > Associate Professor | 1 | 3% |
Lecturer | 1 | 3% |
Other | 1 | 3% |
Unknown | 24 | 80% |
Readers by discipline | Count | As % |
---|---|---|
Mathematics | 6 | 20% |
Unknown | 24 | 80% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 07 September 2023.
All research outputs
#7,006,747
of 24,396,012 outputs
Outputs from Science China Mathematics
#2
of 169 outputs
Outputs of similar age
#76,957
of 267,922 outputs
Outputs of similar age from Science China Mathematics
#1
of 2 outputs
Altmetric has tracked 24,396,012 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 169 research outputs from this source. They receive a mean Attention Score of 0.8. This one has done particularly well, scoring higher than 99% 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 267,922 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 70% 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