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X Demographics
Mendeley readers
Attention Score in Context
| Title |
-Omics biomarker identification pipeline for translational medicine
|
|---|---|
| Published in |
Journal of Translational Medicine, May 2019
|
| DOI | 10.1186/s12967-019-1912-5 |
| Pubmed ID | |
| Authors |
Laura Bravo-Merodio, John A. Williams, Georgios V. Gkoutos, Animesh Acharjee |
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 % |
|---|---|---|
| Comoros | 1 | 14% |
| India | 1 | 14% |
| United States | 1 | 14% |
| Canada | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 101 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 17% |
| Researcher | 15 | 15% |
| Student > Master | 14 | 14% |
| Student > Bachelor | 8 | 8% |
| Student > Postgraduate | 6 | 6% |
| Other | 15 | 15% |
| Unknown | 26 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 17% |
| Medicine and Dentistry | 10 | 10% |
| Agricultural and Biological Sciences | 9 | 9% |
| Computer Science | 9 | 9% |
| Nursing and Health Professions | 5 | 5% |
| Other | 18 | 18% |
| Unknown | 33 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 24 May 2019.
All research outputs
#8,184,747
of 24,532,617 outputs
Outputs from Journal of Translational Medicine
#1,414
of 4,405 outputs
Outputs of similar age
#141,668
of 356,253 outputs
Outputs of similar age from Journal of Translational Medicine
#24
of 96 outputs
Altmetric has tracked 24,532,617 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,405 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 gotten more attention than average, scoring higher than 63% 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 356,253 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 96 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.