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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Plasma cytokines in women with chronic fatigue syndrome
|
|---|---|
| Published in |
Journal of Translational Medicine, November 2009
|
| DOI | 10.1186/1479-5876-7-96 |
| Pubmed ID | |
| Authors |
Mary Ann Fletcher, Xiao Rong Zeng, Zachary Barnes, Silvina Levis, Nancy G Klimas |
| Abstract |
Chronic Fatigue Syndrome (CFS) studies from our laboratory and others have described cytokine abnormalities. Other studies reported no difference between CFS and controls. However, methodologies varied widely and few studies measured more than 4 or 5 cytokines. Multiplex technology permits the determination of cytokines for a large panel of cytokines simultaneously with high sensitivity and with only 30 ul of plasma per sample. No widely accepted laboratory test or marker is available for the diagnosis or prognosis of CFS. This study screened plasma factors to identify circulating biomarkers associated with CFS. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Australia | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| United Kingdom | 1 | <1% |
| Norway | 1 | <1% |
| Unknown | 103 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 24% |
| Student > Ph. D. Student | 17 | 16% |
| Student > Master | 11 | 10% |
| Other | 10 | 9% |
| Student > Bachelor | 10 | 9% |
| Other | 23 | 21% |
| Unknown | 11 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 37% |
| Agricultural and Biological Sciences | 17 | 16% |
| Biochemistry, Genetics and Molecular Biology | 7 | 6% |
| Immunology and Microbiology | 5 | 5% |
| Neuroscience | 5 | 5% |
| Other | 15 | 14% |
| Unknown | 19 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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
#2,543,953
of 22,813,792 outputs
Outputs from Journal of Translational Medicine
#403
of 3,991 outputs
Outputs of similar age
#9,213
of 93,418 outputs
Outputs of similar age from Journal of Translational Medicine
#3
of 12 outputs
Altmetric has tracked 22,813,792 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,991 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 well, scoring higher than 89% 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 93,418 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 90% of its contemporaries.
We're also able to compare this research output to 12 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.