| Title |
Complement C5 Protein as a Marker of Subclinical Atherosclerosis
|
|---|---|
| Published in |
JACC, April 2020
|
| DOI | 10.1016/j.jacc.2020.02.058 |
| Pubmed ID | |
| Authors |
Diego Martínez-López, Raquel Roldan-Montero, Fernando García-Marqués, Estefania Nuñez, Inmaculada Jorge, Emilio Camafeita, Pablo Minguez, Santiago Rodriguez de Cordoba, Beatriz López-Melgar, Enrique Lara-Pezzi, Antonio Fernández-Ortiz, Borja Ibáñez, Jose Manuel Valdivielso, Valentín Fuster, Jean-Baptiste Michel, Luis Miguel Blanco-Colio, Jesús Vázquez, Jose Luis Martin-Ventura |
X Demographics
The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 9 | 32% |
| United States | 5 | 18% |
| Dominican Republic | 1 | 4% |
| Ireland | 1 | 4% |
| Argentina | 1 | 4% |
| Unknown | 11 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 64% |
| Scientists | 5 | 18% |
| Practitioners (doctors, other healthcare professionals) | 4 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 14% |
| Student > Ph. D. Student | 8 | 14% |
| Student > Master | 4 | 7% |
| Student > Doctoral Student | 4 | 7% |
| Professor > Associate Professor | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 25 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 15% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Agricultural and Biological Sciences | 4 | 7% |
| Computer Science | 3 | 5% |
| Engineering | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 29 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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 15 February 2024.
All research outputs
#1,136,136
of 25,760,414 outputs
Outputs from JACC
#2,767
of 16,935 outputs
Outputs of similar age
#30,255
of 398,207 outputs
Outputs of similar age from JACC
#88
of 382 outputs
Altmetric has tracked 25,760,414 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,935 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.1. This one has done well, scoring higher than 83% 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 398,207 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 92% of its contemporaries.
We're also able to compare this research output to 382 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.