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Text mining in a literature review of urothelial cancer using topic model

Overview of attention for article published in BMC Cancer, May 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
2 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
38 Mendeley
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Title
Text mining in a literature review of urothelial cancer using topic model
Published in
BMC Cancer, May 2020
DOI 10.1186/s12885-020-06931-0
Pubmed ID
Authors

Hsuan-Jen Lin, Phillip C.-Y. Sheu, Jeffrey J. P. Tsai, Charles C. N. Wang, Che-Yi Chou

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 16%
Researcher 5 13%
Lecturer 3 8%
Other 2 5%
Student > Doctoral Student 2 5%
Other 6 16%
Unknown 14 37%
Readers by discipline Count As %
Medicine and Dentistry 7 18%
Computer Science 7 18%
Engineering 3 8%
Agricultural and Biological Sciences 2 5%
Mathematics 1 3%
Other 2 5%
Unknown 16 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 April 2024.
All research outputs
#7,302,450
of 25,654,566 outputs
Outputs from BMC Cancer
#1,881
of 9,035 outputs
Outputs of similar age
#154,883
of 427,528 outputs
Outputs of similar age from BMC Cancer
#52
of 189 outputs
Altmetric has tracked 25,654,566 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 9,035 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 78% 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 427,528 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 63% of its contemporaries.
We're also able to compare this research output to 189 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.