| Title |
Short-Term Progression of Multiterritorial Subclinical Atherosclerosis
|
|---|---|
| Published in |
JACC, April 2020
|
| DOI | 10.1016/j.jacc.2020.02.026 |
| Pubmed ID | |
| Authors |
Beatriz López-Melgar, Leticia Fernández-Friera, Belén Oliva, José Manuel García-Ruiz, Fátima Sánchez-Cabo, Héctor Bueno, José María Mendiguren, Enrique Lara-Pezzi, Vicente Andrés, Borja Ibáñez, Antonio Fernández-Ortiz, Javier Sanz, Valentín Fuster |
X Demographics
The data shown below were collected from the profiles of 83 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 | 20 | 24% |
| Argentina | 7 | 8% |
| United States | 5 | 6% |
| Colombia | 3 | 4% |
| Mexico | 2 | 2% |
| Italy | 2 | 2% |
| Ecuador | 1 | 1% |
| Venezuela, Bolivarian Republic of | 1 | 1% |
| Peru | 1 | 1% |
| Other | 8 | 10% |
| Unknown | 33 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 53 | 64% |
| Scientists | 14 | 17% |
| Practitioners (doctors, other healthcare professionals) | 11 | 13% |
| Science communicators (journalists, bloggers, editors) | 5 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 86 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 14% |
| Student > Master | 11 | 13% |
| Student > Doctoral Student | 8 | 9% |
| Student > Ph. D. Student | 7 | 8% |
| Student > Bachelor | 5 | 6% |
| Other | 11 | 13% |
| Unknown | 32 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 33% |
| Nursing and Health Professions | 4 | 5% |
| Engineering | 4 | 5% |
| Psychology | 3 | 3% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 9 | 10% |
| Unknown | 36 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 209. 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 09 April 2023.
All research outputs
#189,902
of 26,017,215 outputs
Outputs from JACC
#427
of 17,045 outputs
Outputs of similar age
#6,116
of 399,487 outputs
Outputs of similar age from JACC
#13
of 382 outputs
Altmetric has tracked 26,017,215 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 17,045 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. 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 399,487 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 98% 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 particularly well, scoring higher than 96% of its contemporaries.