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Big data, qualitative style: a breadth-and-depth method for working with large amounts of secondary qualitative data

Overview of attention for article published in Quality & Quantity, April 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 736)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
2 blogs
twitter
105 X users

Citations

dimensions_citation
90 Dimensions

Readers on

mendeley
185 Mendeley
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

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 185 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 18%
Researcher 22 12%
Student > Master 19 10%
Student > Doctoral Student 14 8%
Student > Postgraduate 9 5%
Other 37 20%
Unknown 50 27%
Readers by discipline Count As %
Social Sciences 63 34%
Business, Management and Accounting 18 10%
Arts and Humanities 9 5%
Nursing and Health Professions 7 4%
Computer Science 6 3%
Other 25 14%
Unknown 57 31%
Attention Score in Context

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
#572,174
of 25,913,612 outputs
Outputs from Quality & Quantity
#5
of 736 outputs
Outputs of similar age
#12,577
of 342,204 outputs
Outputs of similar age from Quality & Quantity
#1
of 8 outputs
Altmetric has tracked 25,913,612 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 736 research outputs from this source. They receive a mean Attention Score of 4.7. 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 342,204 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