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Which can better predict the future success of articles? Bibliometric indices or alternative metrics

Overview of attention for article published in Scientometrics, April 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
2 blogs
twitter
12 X users

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
52 Mendeley
Title
Which can better predict the future success of articles? Bibliometric indices or alternative metrics
Published in
Scientometrics, April 2019
DOI 10.1007/s11192-019-03052-9
Authors

Mingyang Wang, Zhenyu Wang, Guangsheng Chen

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 23%
Student > Ph. D. Student 6 12%
Lecturer 4 8%
Librarian 4 8%
Student > Bachelor 3 6%
Other 6 12%
Unknown 17 33%
Readers by discipline Count As %
Social Sciences 11 21%
Business, Management and Accounting 6 12%
Computer Science 4 8%
Agricultural and Biological Sciences 2 4%
Engineering 2 4%
Other 3 6%
Unknown 24 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 November 2019.
All research outputs
#1,622,941
of 23,140,503 outputs
Outputs from Scientometrics
#314
of 2,704 outputs
Outputs of similar age
#39,158
of 351,948 outputs
Outputs of similar age from Scientometrics
#8
of 49 outputs
Altmetric has tracked 23,140,503 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,704 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 88% 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 351,948 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.