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Neural ParsCit: a deep learning-based reference string parser

Overview of attention for article published in International Journal on Digital Libraries, May 2018
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About this Attention Score

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

Mentioned by

twitter
4 X users

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
39 Mendeley
Title
Neural ParsCit: a deep learning-based reference string parser
Published in
International Journal on Digital Libraries, May 2018
DOI 10.1007/s00799-018-0242-1
Authors

Animesh Prasad, Manpreet Kaur, Min-Yen Kan

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

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 15%
Student > Master 6 15%
Student > Bachelor 4 10%
Other 3 8%
Researcher 3 8%
Other 3 8%
Unknown 14 36%
Readers by discipline Count As %
Computer Science 13 33%
Engineering 5 13%
Social Sciences 3 8%
Linguistics 2 5%
Arts and Humanities 1 3%
Other 1 3%
Unknown 14 36%
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 19 June 2018.
All research outputs
#7,464,682
of 23,075,872 outputs
Outputs from International Journal on Digital Libraries
#122
of 230 outputs
Outputs of similar age
#128,991
of 329,556 outputs
Outputs of similar age from International Journal on Digital Libraries
#5
of 8 outputs
Altmetric has tracked 23,075,872 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th 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 is in the 45th percentile – i.e., 45% 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 329,556 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 60% of its contemporaries.
We're also able to compare this research output to 8 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.