| Title |
Big data, qualitative style: a breadth-and-depth method for working with large amounts of secondary qualitative data
|
|---|---|
| Published in |
Quality & Quantity, April 2018
|
| DOI | 10.1007/s11135-018-0757-y |
| Pubmed ID | |
| Authors |
Emma Davidson, Rosalind Edwards, Lynn Jamieson, Susie Weller |
X Demographics
The data shown below were collected from the profiles of 105 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 | 45 | 43% |
| France | 3 | 3% |
| New Zealand | 3 | 3% |
| United States | 2 | 2% |
| Ireland | 2 | 2% |
| Canada | 2 | 2% |
| Sweden | 2 | 2% |
| Ghana | 1 | <1% |
| Poland | 1 | <1% |
| Other | 3 | 3% |
| Unknown | 41 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 70 | 67% |
| Scientists | 29 | 28% |
| Practitioners (doctors, other healthcare professionals) | 3 | 3% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 183 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 19% |
| Researcher | 22 | 12% |
| Student > Master | 19 | 10% |
| Student > Doctoral Student | 14 | 8% |
| Student > Postgraduate | 9 | 5% |
| Other | 37 | 20% |
| Unknown | 48 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 62 | 34% |
| Business, Management and Accounting | 18 | 10% |
| Arts and Humanities | 9 | 5% |
| Nursing and Health Professions | 7 | 4% |
| Computer Science | 6 | 3% |
| Other | 26 | 14% |
| Unknown | 55 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 77. 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 17 May 2021.
All research outputs
#564,258
of 25,998,826 outputs
Outputs from Quality & Quantity
#5
of 743 outputs
Outputs of similar age
#12,542
of 343,545 outputs
Outputs of similar age from Quality & Quantity
#1
of 8 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 743 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 99% 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 343,545 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them