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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Choroidal thickness and granulocyte colony-stimulating factor in tears improve the prediction model for coronary artery disease
|
|---|---|
| Published in |
Cardiovascular Diabetology, June 2022
|
| DOI | 10.1186/s12933-022-01538-0 |
| Pubmed ID | |
| Authors |
José Lorenzo Romero-Trevejo, Lourdes Fernández-Romero, Josué Delgado, Erika Muñoz-García, Andrés Sánchez-Pérez, Mora Murri, Mario Gutiérrez-Bedmar, Manuel Francisco Jiménez-Navarro |
X Demographics
The data shown below were collected from the profiles of 8 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 | 5 | 63% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Practitioners (doctors, other healthcare professionals) | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 20% |
| Lecturer > Senior Lecturer | 1 | 20% |
| Student > Master | 1 | 20% |
| Unknown | 2 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 1 | 20% |
| Nursing and Health Professions | 1 | 20% |
| Unknown | 3 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 76. 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 02 March 2024.
All research outputs
#561,527
of 25,399,318 outputs
Outputs from Cardiovascular Diabetology
#20
of 1,658 outputs
Outputs of similar age
#14,535
of 448,267 outputs
Outputs of similar age from Cardiovascular Diabetology
#1
of 62 outputs
Altmetric has tracked 25,399,318 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,658 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done particularly well, scoring higher than 98% 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 448,267 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 96% of its contemporaries.
We're also able to compare this research output to 62 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 99% of its contemporaries.