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Mendeley readers
Attention Score in Context
Title |
Cytokine expression profiles of immune imbalance in post-mononucleosis chronic fatigue
|
---|---|
Published in |
Journal of Translational Medicine, September 2012
|
DOI | 10.1186/1479-5876-10-191 |
Pubmed ID | |
Authors |
Gordon Broderick, Ben Z Katz, Henrique Fernandes, Mary Ann Fletcher, Nancy Klimas, Frederick A Smith, Maurice RG O’Gorman, Suzanne D Vernon, Renee Taylor |
Abstract |
As Chronic Fatigue Syndrome (CFS) has been known to follow Epstein-Bar virus (EBV) and other systemic infections; our objective was to describe differences in immune activation in post-infective CFS (PI-CFS) patients and recovered controls. We studied 301 adolescents prospectively over 24 months following the diagnosis of monospot-positive infectious mononucleosis (IM). We found an incidence of CFS at 6, 12 and 24 months of 13%, 7% and 4% respectively. |
X Demographics
The data shown below were collected from the profiles of 16 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 Kingdom | 4 | 25% |
United States | 2 | 13% |
Belgium | 1 | 6% |
Canada | 1 | 6% |
Unknown | 8 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 81% |
Practitioners (doctors, other healthcare professionals) | 2 | 13% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
Unknown | 69 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 19% |
Researcher | 9 | 13% |
Student > Bachelor | 8 | 11% |
Student > Doctoral Student | 7 | 10% |
Student > Master | 6 | 9% |
Other | 12 | 17% |
Unknown | 15 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 18 | 26% |
Agricultural and Biological Sciences | 8 | 11% |
Immunology and Microbiology | 3 | 4% |
Psychology | 3 | 4% |
Computer Science | 2 | 3% |
Other | 14 | 20% |
Unknown | 22 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 17 September 2019.
All research outputs
#1,915,015
of 22,678,224 outputs
Outputs from Journal of Translational Medicine
#309
of 3,960 outputs
Outputs of similar age
#12,913
of 168,451 outputs
Outputs of similar age from Journal of Translational Medicine
#6
of 59 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 92% 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 168,451 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 92% of its contemporaries.
We're also able to compare this research output to 59 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.