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Characterization, description, and considerations for the use of funding acknowledgement data in Web of Science

Overview of attention for article published in Scientometrics, April 2016
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
1 blog
twitter
15 X users
patent
1 patent

Citations

dimensions_citation
90 Dimensions

Readers on

mendeley
90 Mendeley
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Title
Characterization, description, and considerations for the use of funding acknowledgement data in Web of Science
Published in
Scientometrics, April 2016
DOI 10.1007/s11192-016-1953-y
Authors

Adèle Paul-Hus, Nadine Desrochers, Rodrigo Costas

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 2%
Japan 1 1%
Canada 1 1%
Unknown 86 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 19%
Student > Ph. D. Student 10 11%
Librarian 8 9%
Student > Master 8 9%
Other 7 8%
Other 22 24%
Unknown 18 20%
Readers by discipline Count As %
Social Sciences 32 36%
Computer Science 11 12%
Business, Management and Accounting 7 8%
Engineering 6 7%
Agricultural and Biological Sciences 3 3%
Other 10 11%
Unknown 21 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 11 January 2022.
All research outputs
#1,739,425
of 23,907,431 outputs
Outputs from Scientometrics
#336
of 2,774 outputs
Outputs of similar age
#29,512
of 301,952 outputs
Outputs of similar age from Scientometrics
#8
of 67 outputs
Altmetric has tracked 23,907,431 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 2,774 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 87% 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 301,952 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.