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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An unbiased metagenomic search for infectious agents using monozygotic twins discordant for chronic fatigue
|
|---|---|
| Published in |
BMC Microbiology, January 2011
|
| DOI | 10.1186/1471-2180-11-2 |
| Pubmed ID | |
| Authors |
Patrick F Sullivan, Tobias Allander, Fredrik Lysholm, Shan Goh, Bengt Persson, Andreas Jacks, Birgitta Evengård, Nancy L Pedersen, Björn Andersson |
| Abstract |
Chronic fatigue syndrome is an idiopathic syndrome widely suspected of having an infectious or immune etiology. We applied an unbiased metagenomic approach to try to identify known or novel infectious agents in the serum of 45 cases with chronic fatigue syndrome or idiopathic chronic fatigue. Controls were the unaffected monozygotic co-twins of cases, and serum samples were obtained at the same place and time. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 3% |
| United States | 2 | 3% |
| United Kingdom | 2 | 3% |
| Sweden | 1 | 1% |
| Germany | 1 | 1% |
| France | 1 | 1% |
| India | 1 | 1% |
| Unknown | 58 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 25% |
| Professor | 12 | 18% |
| Student > Ph. D. Student | 10 | 15% |
| Student > Master | 8 | 12% |
| Lecturer > Senior Lecturer | 4 | 6% |
| Other | 13 | 19% |
| Unknown | 4 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 46% |
| Medicine and Dentistry | 10 | 15% |
| Biochemistry, Genetics and Molecular Biology | 8 | 12% |
| Immunology and Microbiology | 4 | 6% |
| Psychology | 3 | 4% |
| Other | 3 | 4% |
| Unknown | 9 | 13% |
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 27 May 2014.
All research outputs
#16,720,137
of 25,371,288 outputs
Outputs from BMC Microbiology
#1,744
of 3,489 outputs
Outputs of similar age
#150,619
of 190,670 outputs
Outputs of similar age from BMC Microbiology
#10
of 19 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,489 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 190,670 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.