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Constructing and analyzing domain-specific language model for financial text mining

Overview of attention for article published in Information Processing and Management, March 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#18 of 990)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
4 news outlets
twitter
3 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Constructing and analyzing domain-specific language model for financial text mining
Published in
Information Processing and Management, March 2023
DOI 10.1016/j.ipm.2022.103194
Authors

Masahiro Suzuki, Hiroki Sakaji, Masanori Hirano, Kiyoshi Izumi

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 11%
Student > Bachelor 2 11%
Professor > Associate Professor 1 6%
Lecturer > Senior Lecturer 1 6%
Professor 1 6%
Other 3 17%
Unknown 8 44%
Readers by discipline Count As %
Engineering 3 17%
Unspecified 2 11%
Computer Science 2 11%
Linguistics 1 6%
Arts and Humanities 1 6%
Other 1 6%
Unknown 8 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 18 January 2023.
All research outputs
#1,093,376
of 25,478,886 outputs
Outputs from Information Processing and Management
#18
of 990 outputs
Outputs of similar age
#23,235
of 423,184 outputs
Outputs of similar age from Information Processing and Management
#1
of 18 outputs
Altmetric has tracked 25,478,886 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 990 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 98% 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 423,184 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 94% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.