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PNAS

Skill discrepancies between research, education, and jobs reveal the critical need to supply soft skills for the data economy

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, December 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
7 news outlets
policy
1 policy source
twitter
102 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
93 Dimensions

Readers on

mendeley
287 Mendeley
Title
Skill discrepancies between research, education, and jobs reveal the critical need to supply soft skills for the data economy
Published in
Proceedings of the National Academy of Sciences of the United States of America, December 2018
DOI 10.1073/pnas.1804247115
Pubmed ID
Authors

Katy Börner, Olga Scrivner, Mike Gallant, Shutian Ma, Xiaozhong Liu, Keith Chewning, Lingfei Wu, James A Evans

X Demographics

X Demographics

The data shown below were collected from the profiles of 102 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 287 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 287 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 13%
Student > Master 28 10%
Researcher 24 8%
Student > Bachelor 22 8%
Student > Doctoral Student 20 7%
Other 66 23%
Unknown 90 31%
Readers by discipline Count As %
Business, Management and Accounting 34 12%
Social Sciences 32 11%
Computer Science 20 7%
Economics, Econometrics and Finance 18 6%
Engineering 16 6%
Other 63 22%
Unknown 104 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 128. 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 04 November 2022.
All research outputs
#322,194
of 25,331,507 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#5,877
of 102,768 outputs
Outputs of similar age
#7,020
of 450,269 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#110
of 901 outputs
Altmetric has tracked 25,331,507 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 102,768 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.3. This one has done particularly well, scoring higher than 94% 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 450,269 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 98% of its contemporaries.
We're also able to compare this research output to 901 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.