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X Demographics
Mendeley readers
Attention Score in Context
Title |
Multi-omics examination of Q fever fatigue syndrome identifies similarities with chronic fatigue syndrome
|
---|---|
Published in |
Journal of Translational Medicine, November 2020
|
DOI | 10.1186/s12967-020-02585-5 |
Pubmed ID | |
Authors |
Ruud P. H. Raijmakers, Megan E. Roerink, Anne F. M. Jansen, Stephan P. Keijmel, Ranko Gacesa, Yang Li, Leo A. B. Joosten, Jos W. M. van der Meer, Mihai G. Netea, Chantal P. Bleeker-Rovers, Cheng-Jian Xu |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 18% |
Netherlands | 1 | 9% |
United States | 1 | 9% |
Belgium | 1 | 9% |
Canada | 1 | 9% |
Unknown | 5 | 45% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 64% |
Scientists | 2 | 18% |
Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 17% |
Student > Bachelor | 3 | 8% |
Lecturer | 2 | 6% |
Student > Doctoral Student | 2 | 6% |
Professor | 2 | 6% |
Other | 5 | 14% |
Unknown | 16 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 6 | 17% |
Medicine and Dentistry | 3 | 8% |
Psychology | 2 | 6% |
Immunology and Microbiology | 2 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Other | 3 | 8% |
Unknown | 19 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 08 December 2020.
All research outputs
#2,239,993
of 23,267,128 outputs
Outputs from Journal of Translational Medicine
#356
of 4,101 outputs
Outputs of similar age
#63,396
of 509,028 outputs
Outputs of similar age from Journal of Translational Medicine
#20
of 100 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,101 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 91% 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 509,028 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 87% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.