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RLetters: A Web-Based Application for Text Analysis of Journal Articles

Overview of attention for article published in PLoS ONE, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
16 Mendeley
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Title
RLetters: A Web-Based Application for Text Analysis of Journal Articles
Published in
PLoS ONE, January 2016
DOI 10.1371/journal.pone.0146004
Pubmed ID
Authors

Charles H. Pence

Abstract

While textual analysis of the journal literature is a burgeoning field, there is still a profound lack of user-friendly software for accomplishing this task. RLetters is a free, open-source web application which provides researchers with an environment in which they can select sets of journal articles and analyze them with cutting-edge textual analysis tools. RLetters allows users without prior expertise in textual analysis to analyze word frequency, collocations, cooccurrences, term networks, and more. It is implemented in Ruby and scripts are provided to automate deployment.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 31%
Student > Master 3 19%
Student > Ph. D. Student 2 13%
Other 2 13%
Researcher 1 6%
Other 3 19%
Readers by discipline Count As %
Computer Science 8 50%
Social Sciences 3 19%
Unspecified 2 13%
Agricultural and Biological Sciences 1 6%
Psychology 1 6%
Other 1 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 May 2016.
All research outputs
#1,370,147
of 7,693,543 outputs
Outputs from PLoS ONE
#26,109
of 109,376 outputs
Outputs of similar age
#67,384
of 312,032 outputs
Outputs of similar age from PLoS ONE
#1,209
of 4,924 outputs
Altmetric has tracked 7,693,543 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 109,376 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done well, scoring higher than 76% 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 312,032 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 78% of its contemporaries.
We're also able to compare this research output to 4,924 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.