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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 (87th percentile)

Mentioned by

news
9 news outlets
blogs
1 blog
twitter
72 tweeters
facebook
5 Facebook pages

Readers on

mendeley
65 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

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

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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 18%
Other 7 11%
Student > Postgraduate 6 9%
Student > Master 6 9%
Student > Bachelor 6 9%
Other 11 17%
Unknown 17 26%
Readers by discipline Count As %
Medicine and Dentistry 29 45%
Neuroscience 2 3%
Nursing and Health Professions 2 3%
Psychology 2 3%
Physics and Astronomy 1 2%
Other 6 9%
Unknown 23 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 114. 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 05 August 2020.
All research outputs
#176,993
of 15,621,828 outputs
Outputs from British Medical Journal
#2,702
of 49,062 outputs
Outputs of similar age
#5,240
of 268,215 outputs
Outputs of similar age from British Medical Journal
#99
of 798 outputs
Altmetric has tracked 15,621,828 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 49,062 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.6. 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 268,215 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 798 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.