| Title |
GlycA, a novel biomarker of systemic inflammation and cardiovascular disease risk
|
|---|---|
| Published in |
Journal of Translational Medicine, October 2017
|
| DOI | 10.1186/s12967-017-1321-6 |
| Pubmed ID | |
| Authors |
Margery A. Connelly, James D. Otvos, Irina Shalaurova, Martin P. Playford, Nehal N. Mehta |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Colombia | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 175 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 21% |
| Researcher | 26 | 15% |
| Student > Master | 20 | 11% |
| Student > Doctoral Student | 16 | 9% |
| Student > Bachelor | 13 | 7% |
| Other | 25 | 14% |
| Unknown | 39 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 37 | 21% |
| Biochemistry, Genetics and Molecular Biology | 27 | 15% |
| Agricultural and Biological Sciences | 16 | 9% |
| Nursing and Health Professions | 8 | 5% |
| Neuroscience | 8 | 5% |
| Other | 30 | 17% |
| Unknown | 49 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 23 December 2022.
All research outputs
#3,431,800
of 26,017,215 outputs
Outputs from Journal of Translational Medicine
#602
of 4,712 outputs
Outputs of similar age
#61,755
of 343,318 outputs
Outputs of similar age from Journal of Translational Medicine
#3
of 59 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,712 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 86% 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 343,318 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 81% of its contemporaries.
We're also able to compare this research output to 59 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 94% of its contemporaries.