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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Making sense of big text: a visual-first approach for analysing text data using Leximancer and Discursis
|
|---|---|
| Published in |
International Journal of Social Research Methodology, May 2013
|
| DOI | 10.1080/13645579.2013.774186 |
| Authors |
Daniel Angus, Sean Rintel, Janet Wiles |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 38% |
| United States | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 38% |
| Members of the public | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 1% |
| Australia | 2 | <1% |
| Germany | 2 | <1% |
| United States | 2 | <1% |
| Spain | 2 | <1% |
| Sweden | 1 | <1% |
| India | 1 | <1% |
| South Africa | 1 | <1% |
| Malaysia | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 199 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 21% |
| Student > Master | 29 | 13% |
| Researcher | 24 | 11% |
| Student > Doctoral Student | 17 | 8% |
| Student > Bachelor | 13 | 6% |
| Other | 49 | 22% |
| Unknown | 40 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 62 | 28% |
| Business, Management and Accounting | 42 | 19% |
| Computer Science | 25 | 11% |
| Psychology | 10 | 5% |
| Arts and Humanities | 9 | 4% |
| Other | 23 | 11% |
| Unknown | 47 | 22% |
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 28 May 2018.
All research outputs
#6,878,989
of 24,187,594 outputs
Outputs from International Journal of Social Research Methodology
#442
of 863 outputs
Outputs of similar age
#55,079
of 195,763 outputs
Outputs of similar age from International Journal of Social Research Methodology
#8
of 14 outputs
Altmetric has tracked 24,187,594 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 863 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 48th percentile – i.e., 48% 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 195,763 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 71% of its contemporaries.
We're also able to compare this research output to 14 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 50% of its contemporaries.