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X Demographics
Mendeley readers
Attention Score in Context
Title |
Rationale and design of interleukin-1 blockade in recently decompensated heart failure (REDHART2): a randomized, double blind, placebo controlled, single center, phase 2 study
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Published in |
Journal of Translational Medicine, June 2022
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DOI | 10.1186/s12967-022-03466-9 |
Pubmed ID | |
Authors |
Benjamin Van Tassell, Virginia Mihalick, Georgia Thomas, Amr Marawan, Azita H. Talasaz, Juan Lu, Le Kang, Amy Ladd, Juan Ignacio Damonte, Dave L. Dixon, Roshanak Markley, Jeremy Turlington, Emily Federmann, Marco Giuseppe Del Buono, Giuseppe Biondi-Zoccai, Justin M. Canada, Ross Arena, Antonio Abbate |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 42% |
Italy | 1 | 8% |
Mexico | 1 | 8% |
Unknown | 5 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 7 | 58% |
Members of the public | 5 | 42% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 17% |
Student > Doctoral Student | 3 | 10% |
Student > Ph. D. Student | 3 | 10% |
Student > Postgraduate | 2 | 7% |
Student > Bachelor | 2 | 7% |
Other | 2 | 7% |
Unknown | 12 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 31% |
Biochemistry, Genetics and Molecular Biology | 3 | 10% |
Environmental Science | 1 | 3% |
Unspecified | 1 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Other | 0 | 0% |
Unknown | 14 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 21 June 2022.
All research outputs
#4,370,202
of 23,929,753 outputs
Outputs from Journal of Translational Medicine
#734
of 4,232 outputs
Outputs of similar age
#93,111
of 444,354 outputs
Outputs of similar age from Journal of Translational Medicine
#9
of 116 outputs
Altmetric has tracked 23,929,753 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,232 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 82% 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 444,354 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 79% of its contemporaries.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.