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Improvement of hospital care for patients with non-Hodgkin’s lymphoma: protocol for a cluster randomized controlled trial (PEARL study)

Overview of attention for article published in Implementation Science, July 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
55 Mendeley
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Title
Improvement of hospital care for patients with non-Hodgkin’s lymphoma: protocol for a cluster randomized controlled trial (PEARL study)
Published in
Implementation Science, July 2013
DOI 10.1186/1748-5908-8-77
Pubmed ID
Authors

Jozette JC Stienen, Rosella PMG Hermens, Lianne Wennekes, Saskia AM van de Schans, Helena M Dekker, Nicole MA Blijlevens, Richard WM van der Maazen, Eddy MM Adang, Johan HJM van Krieken, Petronella B Ottevanger

Abstract

Malignant lymphomas constitute a diverse group of cancers of lymphocytes. One well-known disease is Hodgkin's lymphoma; the others are classified as non-Hodgkin's lymphoma (NHL). NHLs are the most common hematologic neoplasms in adults worldwide, and in 2012 over 170,000 new cases were estimated in the United States and Europe.In previous studies, several practice gaps in hospital care for patients with NHL have been identified. To decrease this variation in care, the present study aims to perform a problem analysis in which barriers to and facilitators for optimal NHL care will be identified and, based on these findings, to develop (tailored) improvement strategies. Subsequently, we will assess the effectiveness, feasibility and costs of the improvement strategies.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 13%
Student > Bachelor 6 11%
Researcher 5 9%
Student > Master 5 9%
Student > Doctoral Student 4 7%
Other 10 18%
Unknown 18 33%
Readers by discipline Count As %
Medicine and Dentistry 17 31%
Nursing and Health Professions 6 11%
Environmental Science 1 2%
Computer Science 1 2%
Immunology and Microbiology 1 2%
Other 5 9%
Unknown 24 44%

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 18 September 2013.
All research outputs
#5,786,782
of 21,347,367 outputs
Outputs from Implementation Science
#1,068
of 1,682 outputs
Outputs of similar age
#46,350
of 174,256 outputs
Outputs of similar age from Implementation Science
#5
of 5 outputs
Altmetric has tracked 21,347,367 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,682 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 35th percentile – i.e., 35% 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 174,256 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 73% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.