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X Demographics
Mendeley readers
Attention Score in Context
Title |
Systems prediction of chronic lung allograft dysfunction: Results and perspectives from the Cohort of Lung Transplantation and Systems prediction of Chronic Lung Allograft Dysfunction cohorts
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Published in |
Frontiers in Medicine, March 2023
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DOI | 10.3389/fmed.2023.1126697 |
Pubmed ID | |
Authors |
Christophe Pison, Adrien Tissot, Eric Bernasconi, Pierre-Joseph Royer, Antoine Roux, Angela Koutsokera, Benjamin Coiffard, Benjamin Renaud-Picard, Jérôme Le Pavec, Pierre Mordant, Xavier Demant, Thomas Villeneuve, Jean-Francois Mornex, Simona Nemska, Nelly Frossard, Olivier Brugière, Valérie Siroux, Benjamin J. Marsland, Aurore Foureau, Karine Botturi, Eugenie Durand, Johann Pellet, Richard Danger, Charles Auffray, Sophie Brouard, Laurent Nicod, Antoine Magnan, Members of the Cohort of Lung Transplantation and Systems prediction of Chronic Lung Allograft Dysfunction consortia |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 20% |
Other | 2 | 20% |
Student > Doctoral Student | 2 | 20% |
Student > Master | 1 | 10% |
Unknown | 3 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 50% |
Biochemistry, Genetics and Molecular Biology | 1 | 10% |
Unknown | 4 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 28 March 2023.
All research outputs
#13,857,542
of 23,485,296 outputs
Outputs from Frontiers in Medicine
#2,276
of 6,040 outputs
Outputs of similar age
#127,945
of 323,276 outputs
Outputs of similar age from Frontiers in Medicine
#52
of 230 outputs
Altmetric has tracked 23,485,296 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,040 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has gotten more attention than average, scoring higher than 59% 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 323,276 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 58% of its contemporaries.
We're also able to compare this research output to 230 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.