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Understanding China’s urban system evolution from web search index data

Overview of attention for article published in EPJ Data Science, March 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
19 Mendeley
Title
Understanding China’s urban system evolution from web search index data
Published in
EPJ Data Science, March 2022
DOI 10.1140/epjds/s13688-022-00332-y
Pubmed ID
Authors

Hao Guo, Weiyu Zhang, Haode Du, Chaogui Kang, Yu Liu

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 16%
Student > Bachelor 3 16%
Professor 1 5%
Unspecified 1 5%
Student > Doctoral Student 1 5%
Other 0 0%
Unknown 10 53%
Readers by discipline Count As %
Computer Science 2 11%
Environmental Science 1 5%
Nursing and Health Professions 1 5%
Unspecified 1 5%
Economics, Econometrics and Finance 1 5%
Other 3 16%
Unknown 10 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 March 2022.
All research outputs
#13,598,995
of 23,452,723 outputs
Outputs from EPJ Data Science
#346
of 384 outputs
Outputs of similar age
#184,557
of 441,641 outputs
Outputs of similar age from EPJ Data Science
#15
of 21 outputs
Altmetric has tracked 23,452,723 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 384 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one is in the 8th percentile – i.e., 8% 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 441,641 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 57% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.