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Extracting discourse elements and annotating scientific documents using the SciAnnotDoc model: a use case in gender documents

Overview of attention for article published in International Journal on Digital Libraries, August 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
26 Mendeley
Title
Extracting discourse elements and annotating scientific documents using the SciAnnotDoc model: a use case in gender documents
Published in
International Journal on Digital Libraries, August 2017
DOI 10.1007/s00799-017-0227-5
Authors

Hélène de Ribaupierre, Gilles Falquet

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Student > Ph. D. Student 4 15%
Researcher 3 12%
Student > Doctoral Student 1 4%
Student > Bachelor 1 4%
Other 5 19%
Unknown 7 27%
Readers by discipline Count As %
Computer Science 13 50%
Social Sciences 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Environmental Science 1 4%
Engineering 1 4%
Other 0 0%
Unknown 8 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 August 2020.
All research outputs
#6,484,764
of 22,997,544 outputs
Outputs from International Journal on Digital Libraries
#111
of 230 outputs
Outputs of similar age
#104,105
of 318,007 outputs
Outputs of similar age from International Journal on Digital Libraries
#2
of 5 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 230 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has gotten more attention than average, scoring higher than 51% 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 318,007 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.