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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Targeted Metabolomic Analysis of Serum Fatty Acids for the Prediction of Autoimmune Diseases
|
|---|---|
| Published in |
Frontiers in Molecular Biosciences, November 2019
|
| DOI | 10.3389/fmolb.2019.00120 |
| Pubmed ID | |
| Authors |
Dimitris Tsoukalas, Vassileios Fragoulakis, Evangelia Sarandi, Anca Oana Docea, Evangelos Papakonstaninou, Gerasimos Tsilimidos, Chrysanthi Anamaterou, Persefoni Fragkiadaki, Michael Aschner, Aristidis Tsatsakis, Nikolaos Drakoulis, Daniela Calina |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 14% |
| Canada | 1 | 14% |
| United Kingdom | 1 | 14% |
| Switzerland | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 103 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 13% |
| Student > Master | 13 | 13% |
| Student > Ph. D. Student | 10 | 10% |
| Student > Bachelor | 9 | 9% |
| Other | 5 | 5% |
| Other | 15 | 15% |
| Unknown | 38 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 16% |
| Biochemistry, Genetics and Molecular Biology | 15 | 15% |
| Agricultural and Biological Sciences | 13 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Nursing and Health Professions | 3 | 3% |
| Other | 12 | 12% |
| Unknown | 41 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 31 October 2022.
All research outputs
#2,218,441
of 23,983,367 outputs
Outputs from Frontiers in Molecular Biosciences
#122
of 4,226 outputs
Outputs of similar age
#48,486
of 365,732 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#7
of 56 outputs
Altmetric has tracked 23,983,367 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 4,226 research outputs from this source. They receive a mean Attention Score of 3.3. 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 365,732 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 86% of its contemporaries.
We're also able to compare this research output to 56 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.