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Whole-body MRI compared with standard pathways for staging metastatic disease in lung and colorectal cancer: the Streamline diagnostic accuracy studies

Overview of attention for article published in Health technology assessment : HTA / NHS R & D HTA Programme., December 2019
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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 (83rd percentile)

Mentioned by

twitter
17 tweeters

Readers on

mendeley
21 Mendeley
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Title
Whole-body MRI compared with standard pathways for staging metastatic disease in lung and colorectal cancer: the Streamline diagnostic accuracy studies
Published in
Health technology assessment : HTA / NHS R & D HTA Programme., December 2019
DOI 10.3310/hta23660
Pubmed ID
Authors

Stuart A Taylor, Susan Mallett, Anne Miles, Stephen Morris, Laura Quinn, Caroline S Clarke, Sandy Beare, John Bridgewater, Vicky Goh, Sam Janes, Dow-Mu Koh, Alison Morton, Neal Navani, Alfred Oliver, Anwar Padhani, Shonit Punwani, Andrea Rockall, Steve Halligan

Twitter Demographics

The data shown below were collected from the profiles of 17 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 %
Researcher 5 24%
Student > Ph. D. Student 4 19%
Lecturer > Senior Lecturer 2 10%
Other 2 10%
Student > Master 2 10%
Other 1 5%
Unknown 5 24%
Readers by discipline Count As %
Medicine and Dentistry 7 33%
Nursing and Health Professions 2 10%
Biochemistry, Genetics and Molecular Biology 2 10%
Neuroscience 2 10%
Psychology 2 10%
Other 3 14%
Unknown 3 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 24 March 2020.
All research outputs
#1,715,621
of 15,886,334 outputs
Outputs from Health technology assessment : HTA / NHS R & D HTA Programme.
#222
of 937 outputs
Outputs of similar age
#58,127
of 361,061 outputs
Outputs of similar age from Health technology assessment : HTA / NHS R & D HTA Programme.
#2
of 3 outputs
Altmetric has tracked 15,886,334 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 937 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 76% 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 361,061 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 83% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.