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Article Metrics

Diagnosis of obstructive coronary artery disease using computed tomography angiography in patients with stable chest pain depending on clinical probability and in clinically important subgroups: meta-a…

Overview of attention for article published in British Medical Journal, June 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
10 news outlets
blogs
2 blogs
twitter
72 tweeters
facebook
5 Facebook pages

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
121 Mendeley
Title
Diagnosis of obstructive coronary artery disease using computed tomography angiography in patients with stable chest pain depending on clinical probability and in clinically important subgroups: meta-analysis of individual patient data
Published in
British Medical Journal, June 2019
DOI 10.1136/bmj.l1945
Pubmed ID
Authors

Robert Haase, Peter Schlattmann, Pascal Gueret, Daniele Andreini, Gianluca Pontone, Hatem Alkadhi, Jörg Hausleiter, Mario J Garcia, Sebastian Leschka, Willem B Meijboom, Elke Zimmermann, Bernhard Gerber, U Joseph Schoepf, Abbas A Shabestari, Bjarne L Nørgaard, Matthijs F L Meijs, Akira Sato, Kristian A Ovrehus, Axel C P Diederichsen, Shona M M Jenkins, Juhani Knuuti, Ashraf Hamdan, Bjørn A Halvorsen, Vladimir Mendoza-Rodriguez, Carlos E Rochitte, Johannes Rixe, Yung Liang Wan, Christoph Langer, Nuno Bettencourt, Eugenio Martuscelli, Said Ghostine, Ronny R Buechel, Konstantin Nikolaou, Hans Mickley, Lin Yang, Zhaqoi Zhang, Marcus Y Chen, David A Halon, Matthias Rief, Kai Sun, Beatrice Hirt-Moch, Hiroyuki Niinuma, Roy P Marcus, Simone Muraglia, Réda Jakamy, Benjamin J Chow, Philipp A Kaufmann, Jean-Claude Tardif, Cesar Nomura, Klaus F Kofoed, Jean-Pierre Laissy, Armin Arbab-Zadeh, Kakuya Kitagawa, Roger Laham, Masahiro Jinzaki, John Hoe, Frank J Rybicki, Arthur Scholte, Narinder Paul, Swee Y Tan, Kunihiro Yoshioka, Robert Röhle, Georg M Schuetz, Sabine Schueler, Maria H Coenen, Viktoria Wieske, Stephan Achenbach, Matthew J Budoff, Michael Laule, David E Newby, Marc Dewey

Twitter Demographics

The data shown below were collected from the profiles of 72 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 14%
Other 10 8%
Student > Bachelor 10 8%
Student > Postgraduate 9 7%
Student > Master 9 7%
Other 27 22%
Unknown 39 32%
Readers by discipline Count As %
Medicine and Dentistry 46 38%
Nursing and Health Professions 4 3%
Engineering 4 3%
Psychology 3 2%
Neuroscience 2 2%
Other 10 8%
Unknown 52 43%

Attention Score in Context

This research output has an Altmetric Attention Score of 126. 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 01 May 2022.
All research outputs
#239,614
of 21,078,563 outputs
Outputs from British Medical Journal
#3,436
of 57,365 outputs
Outputs of similar age
#5,360
of 288,272 outputs
Outputs of similar age from British Medical Journal
#87
of 796 outputs
Altmetric has tracked 21,078,563 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 57,365 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.6. This one has done particularly well, scoring higher than 94% 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 288,272 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 98% of its contemporaries.
We're also able to compare this research output to 796 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.