You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
The European ME/CFS Biomarker Landscape project: an initiative of the European network EUROMENE
|
|---|---|
| Published in |
Journal of Translational Medicine, July 2017
|
| DOI | 10.1186/s12967-017-1263-z |
| Pubmed ID | |
| Authors |
Carmen Scheibenbogen, Helma Freitag, Julià Blanco, Enrica Capelli, Eliana Lacerda, Jerome Authier, Mira Meeus, Jesus Castro Marrero, Zaiga Nora-Krukle, Elisa Oltra, Elin Bolle Strand, Evelina Shikova, Slobodan Sekulic, Modra Murovska |
| Abstract |
Myalgic encephalomyelitis or chronic fatigue syndrome (ME/CFS) is a common and severe disease with a considerable social and economic impact. So far, the etiology is not known, and neither a diagnostic marker nor licensed treatments are available yet. The EUROMENE network of European researchers and clinicians aims to promote cooperation and advance research on ME/CFS. To improve diagnosis and facilitate the analysis of clinical trials surrogate markers are urgently needed. As a first step for developing such biomarkers for clinical use a database of active biomarker research in Europe was established called the ME/CFS EUROMENE Biomarker Landscape project and the results are presented in this review. Further we suggest strategies to improve biomarker development and encourage researchers to take these into consideration for designing and reporting biomarker studies. |
X Demographics
The data shown below were collected from the profiles of 107 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 | 19 | 18% |
| Spain | 8 | 7% |
| Australia | 6 | 6% |
| United States | 5 | 5% |
| Germany | 5 | 5% |
| Japan | 3 | 3% |
| Canada | 3 | 3% |
| Belgium | 1 | <1% |
| New Zealand | 1 | <1% |
| Other | 5 | 5% |
| Unknown | 51 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 91 | 85% |
| Scientists | 8 | 7% |
| Practitioners (doctors, other healthcare professionals) | 6 | 6% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 10 | 13% |
| Researcher | 10 | 13% |
| Student > Ph. D. Student | 7 | 9% |
| Student > Bachelor | 7 | 9% |
| Professor | 5 | 7% |
| Other | 18 | 24% |
| Unknown | 18 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 31% |
| Nursing and Health Professions | 7 | 9% |
| Biochemistry, Genetics and Molecular Biology | 6 | 8% |
| Immunology and Microbiology | 6 | 8% |
| Neuroscience | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 20 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 95. 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 03 December 2023.
All research outputs
#452,055
of 25,732,188 outputs
Outputs from Journal of Translational Medicine
#99
of 4,706 outputs
Outputs of similar age
#9,367
of 327,952 outputs
Outputs of similar age from Journal of Translational Medicine
#2
of 54 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,706 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 97% 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 327,952 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 97% of its contemporaries.
We're also able to compare this research output to 54 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 96% of its contemporaries.