↓ Skip to main content

Study protocol: responding to the needs of patients with IgA nephropathy, a social media approach

Overview of attention for article published in Clinical Kidney Journal, November 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
30 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
21 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Study protocol: responding to the needs of patients with IgA nephropathy, a social media approach
Published in
Clinical Kidney Journal, November 2017
DOI 10.1093/ckj/sfx131
Pubmed ID
Authors

Matthew P M Graham-Brown, Cristina Vasilica, Tom Oates, Ben Light, Christian Clausner, Apostolos Antonacoloulos, Lydia Y J Chen, Paula Ormandy, Jonathan Barratt

Abstract

IgA nephropathy is the most common cause of glomerulonephritis in the Western world and predominantly affects young adults. Demographically these patients are the biggest users of social media. With increasing numbers of patients turning to social media to seek information and support in dealing with their disease, analysis of social media streams is an attractive modern strategy for understanding and responding to unmet patient need. To identify unmet patient need in this population, a framework analysis will be undertaken of prospectively acquired social media posts from patients with IgA nephropathy, acquired from a range of different social media platforms. In collaboration with patients and members of the clinical multidisciplinary team, resources will be created to bridge gaps in patient knowledge and education identified through social media analysis and returned to patients via social media channels and bespoke websites. Analysis of the impact of these resources will be undertaken with further social media analysis, surveys and focus groups. Patients with chronic diseases are increasingly using social networking channels to connect with others with similar diseases and to search for information to help them understand their condition. This project is a 21st century digital solution to understanding patient need and developing resources in partnership with patients, and has wide applicability as a future model for understanding patient needs in a variety of conditions.

Twitter Demographics

The data shown below were collected from the profiles of 30 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 29%
Student > Master 6 29%
Lecturer > Senior Lecturer 2 10%
Student > Doctoral Student 1 5%
Student > Bachelor 1 5%
Other 2 10%
Unknown 3 14%
Readers by discipline Count As %
Nursing and Health Professions 8 38%
Medicine and Dentistry 4 19%
Social Sciences 2 10%
Computer Science 1 5%
Business, Management and Accounting 1 5%
Other 1 5%
Unknown 4 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 27 November 2019.
All research outputs
#1,327,721
of 20,214,361 outputs
Outputs from Clinical Kidney Journal
#162
of 1,484 outputs
Outputs of similar age
#40,838
of 437,439 outputs
Outputs of similar age from Clinical Kidney Journal
#1
of 23 outputs
Altmetric has tracked 20,214,361 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,484 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done well, scoring higher than 89% 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 437,439 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 90% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.