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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Greece | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 29 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 9 | 30% |
| Student > Ph. D. Student | 5 | 17% |
| Researcher | 3 | 10% |
| Student > Master | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 27% |
| Social Sciences | 4 | 13% |
| Philosophy | 3 | 10% |
| Psychology | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 7 | 23% |
| Unknown | 4 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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
#12,647,107
of 22,837,982 outputs
Outputs from PLOS ONE
#98,078
of 194,876 outputs
Outputs of similar age
#173,422
of 393,343 outputs
Outputs of similar age from PLOS ONE
#2,087
of 4,916 outputs
Altmetric has tracked 22,837,982 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,876 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 49th percentile – i.e., 49% 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 393,343 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 55% of its contemporaries.
We're also able to compare this research output to 4,916 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 57% of its contemporaries.