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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A predictive model for early diagnosis of keratoconus
|
|---|---|
| Published in |
BMC Ophthalmology, July 2020
|
| DOI | 10.1186/s12886-020-01531-9 |
| Pubmed ID | |
| Authors |
Gracia Castro-Luna, Antonio Pérez-Rueda |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Student > Ph. D. Student | 3 | 5% |
| Student > Doctoral Student | 2 | 4% |
| Researcher | 2 | 4% |
| Other | 8 | 15% |
| Unknown | 31 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 24% |
| Nursing and Health Professions | 3 | 5% |
| Immunology and Microbiology | 1 | 2% |
| Computer Science | 1 | 2% |
| Neuroscience | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 35 | 64% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 July 2020.
All research outputs
#14,488,906
of 23,220,133 outputs
Outputs from BMC Ophthalmology
#646
of 2,441 outputs
Outputs of similar age
#221,962
of 398,655 outputs
Outputs of similar age from BMC Ophthalmology
#16
of 134 outputs
Altmetric has tracked 23,220,133 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,441 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 69% 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 398,655 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 134 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.