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Editorial: Mining Scientific Papers: NLP-enhanced Bibliometrics

Overview of attention for article published in Research Metrics and Analytics (RMA), 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 (82nd percentile)

Mentioned by

twitter
21 X users

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
90 Mendeley
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Title
Editorial: Mining Scientific Papers: NLP-enhanced Bibliometrics
Published in
Research Metrics and Analytics (RMA), April 2019
DOI 10.3389/frma.2019.00002
Pubmed ID
Authors

Iana Atanassova, Marc Bertin, Philipp Mayr

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 %
Unknown 90 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 11%
Student > Ph. D. Student 9 10%
Student > Master 9 10%
Other 7 8%
Student > Bachelor 6 7%
Other 15 17%
Unknown 34 38%
Readers by discipline Count As %
Computer Science 12 13%
Social Sciences 9 10%
Engineering 9 10%
Business, Management and Accounting 4 4%
Linguistics 3 3%
Other 15 17%
Unknown 38 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 17 August 2021.
All research outputs
#3,046,646
of 25,643,886 outputs
Outputs from Research Metrics and Analytics (RMA)
#110
of 363 outputs
Outputs of similar age
#62,514
of 364,021 outputs
Outputs of similar age from Research Metrics and Analytics (RMA)
#1
of 2 outputs
Altmetric has tracked 25,643,886 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 363 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has gotten more attention than average, scoring higher than 69% 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 364,021 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 82% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them