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Using Semantic Linking to Understand Persons’ Networks Extracted from Text

Overview of attention for article published in Frontiers in Digital Humanities, November 2017
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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
15 X users

Readers on

mendeley
8 Mendeley
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Title
Using Semantic Linking to Understand Persons’ Networks Extracted from Text
Published in
Frontiers in Digital Humanities, November 2017
DOI 10.3389/fdigh.2017.00022
Authors

Alessio Palmero Aprosio, Sara Tonelli, Stefano Menini, Giovanni Moretti

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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 25%
Lecturer 1 13%
Researcher 1 13%
Unknown 4 50%
Readers by discipline Count As %
Social Sciences 2 25%
Business, Management and Accounting 1 13%
Neuroscience 1 13%
Unknown 4 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 22 May 2018.
All research outputs
#3,018,803
of 23,674,309 outputs
Outputs from Frontiers in Digital Humanities
#31
of 88 outputs
Outputs of similar age
#52,259
of 295,714 outputs
Outputs of similar age from Frontiers in Digital Humanities
#1
of 4 outputs
Altmetric has tracked 23,674,309 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 88 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has gotten more attention than average, scoring higher than 65% 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 295,714 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 4 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