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Using acknowledgement data to characterize funding organizations by the types of research sponsored: the case of robotics research

Overview of attention for article published in Scientometrics, December 2017
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 X users

Citations

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25 Dimensions

Readers on

mendeley
42 Mendeley
Title
Using acknowledgement data to characterize funding organizations by the types of research sponsored: the case of robotics research
Published in
Scientometrics, December 2017
DOI 10.1007/s11192-017-2617-2
Authors

Cristian Mejia, Yuya Kajikawa

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 17%
Student > Ph. D. Student 6 14%
Student > Doctoral Student 6 14%
Librarian 5 12%
Professor 4 10%
Other 6 14%
Unknown 8 19%
Readers by discipline Count As %
Social Sciences 15 36%
Computer Science 7 17%
Engineering 4 10%
Business, Management and Accounting 1 2%
Agricultural and Biological Sciences 1 2%
Other 5 12%
Unknown 9 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 February 2018.
All research outputs
#14,960,787
of 23,012,811 outputs
Outputs from Scientometrics
#1,945
of 2,691 outputs
Outputs of similar age
#252,713
of 439,309 outputs
Outputs of similar age from Scientometrics
#45
of 60 outputs
Altmetric has tracked 23,012,811 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,691 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 26th percentile – i.e., 26% 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 439,309 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.