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Protocol for a thematic synthesis to identify key themes and messages from a palliative care research network

Overview of attention for article published in BMC Research Notes, October 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
10 tweeters

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
132 Mendeley
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Title
Protocol for a thematic synthesis to identify key themes and messages from a palliative care research network
Published in
BMC Research Notes, October 2016
DOI 10.1186/s13104-016-2282-1
Pubmed ID
Authors

Emma Nicholson, Tara Murphy, Philip Larkin, Charles Normand, Suzanne Guerin

Abstract

Research networks that facilitate collaborative research are increasing both regionally and globally and such collaborations contribute greatly to knowledge transfer particularly in health research. The Palliative Care Research Network is an Irish-based network that seeks to create opportunities and engender a collaborative environment to encourage innovative research that is relevant for policy and practice. The current review outlines a methodology to identify cross-cutting messages to identify how dissemination outputs can be optimized to ensure that key messages from this research reaches all knowledge users. Preferred reporting items for systematic review and meta-analysis protocol guidelines will inform the search and analysis plan to ensure that the synthesis of the data is as rigorous as possible. An approach based on critical interpretative synthesis will be adapted to include a thematic synthesis for the identification of higher-order themes and messages from a body of dissemination products generated by the Palliative Care Research Network. The thematic synthesis outlined in the present protocol offers a novel method of synthesising data from a focused research network that employs a variety of dissemination materials as a means of identifying key themes and messages from a specific body of research. The high-level themes and messages will be identified from the thematic synthesis, widely disseminated and targeted towards a range of stakeholders and knowledge users such as carers, health and social care professionals, policy makers and researchers.

Twitter Demographics

The data shown below were collected from the profiles of 10 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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 18%
Student > Ph. D. Student 16 12%
Student > Bachelor 16 12%
Researcher 12 9%
Student > Postgraduate 8 6%
Other 22 17%
Unknown 34 26%
Readers by discipline Count As %
Nursing and Health Professions 30 23%
Medicine and Dentistry 19 14%
Psychology 12 9%
Social Sciences 8 6%
Business, Management and Accounting 7 5%
Other 20 15%
Unknown 36 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 07 December 2016.
All research outputs
#4,659,883
of 22,896,955 outputs
Outputs from BMC Research Notes
#722
of 4,270 outputs
Outputs of similar age
#78,495
of 316,323 outputs
Outputs of similar age from BMC Research Notes
#9
of 35 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,270 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 83% 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 316,323 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 35 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 74% of its contemporaries.