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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Just Google It: An Approach on Word Frequencies Based on Online Search Result
|
|---|---|
| Published in |
The Journal of General Psychology, May 2018
|
| DOI | 10.1080/00221309.2018.1459451 |
| Pubmed ID | |
| Authors |
Carmen Moret-Tatay, Daniel Gamermann, Michael Murphy, Anezka Kuzmičová |
| Abstract |
Word frequency is one of the most robust factors in the literature on word processing, based on the lexical corpus of a language. However, different sources might be used in order to determine the actual frequency of each word. Recent research has determined frequencies based on movie subtitles, Twitter, blog posts, or newspapers. In this paper, we examine a determination of these frequencies based on the World Wide Web. For this purpose, a Python script was developed to obtain frequencies of a word through online search results. These frequencies were employed to estimate lexical decision times in comparison to the traditional frequencies in a lexical decision task. It was found that the Google frequencies predict reaction times comparably to the traditional frequencies. Still, the explained variance was higher for the traditional database. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
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 % |
|---|---|---|
| Student > Bachelor | 3 | 17% |
| Other | 1 | 6% |
| Lecturer | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 9 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 2 | 11% |
| Neuroscience | 2 | 11% |
| Nursing and Health Professions | 2 | 11% |
| Linguistics | 1 | 6% |
| Social Sciences | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 9 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 04 October 2018.
All research outputs
#18,610,735
of 23,053,613 outputs
Outputs from The Journal of General Psychology
#285
of 329 outputs
Outputs of similar age
#253,044
of 326,850 outputs
Outputs of similar age from The Journal of General Psychology
#3
of 4 outputs
Altmetric has tracked 23,053,613 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 329 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 6th percentile – i.e., 6% 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 326,850 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.