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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Tear fluid proteomics multimarkers for diabetic retinopathy screening
|
|---|---|
| Published in |
BMC Ophthalmology, August 2013
|
| DOI | 10.1186/1471-2415-13-40 |
| Pubmed ID | |
| Authors |
Zsolt Torok, Tunde Peto, Eva Csosz, Edit Tukacs, Agnes Molnar, Zsuzsanna Maros-Szabo, Andras Berta, Jozsef Tozser, Andras Hajdu, Valeria Nagy, Balint Domokos, Adrienne Csutak |
| Abstract |
The aim of the project was to develop a novel method for diabetic retinopathy screening based on the examination of tear fluid biomarker changes. In order to evaluate the usability of protein biomarkers for pre-screening purposes several different approaches were used, including machine learning algorithms. |
X Demographics
The data shown below were collected from the profiles of 7 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 Kingdom | 1 | 14% |
| France | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Practitioners (doctors, other healthcare professionals) | 2 | 29% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | <1% |
| Unknown | 102 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 17% |
| Student > Master | 17 | 17% |
| Student > Ph. D. Student | 16 | 16% |
| Student > Bachelor | 13 | 13% |
| Other | 6 | 6% |
| Other | 14 | 14% |
| Unknown | 19 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 20% |
| Agricultural and Biological Sciences | 18 | 17% |
| Biochemistry, Genetics and Molecular Biology | 11 | 11% |
| Computer Science | 9 | 9% |
| Nursing and Health Professions | 6 | 6% |
| Other | 14 | 14% |
| Unknown | 24 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 17 August 2013.
All research outputs
#7,552,943
of 23,881,329 outputs
Outputs from BMC Ophthalmology
#363
of 2,554 outputs
Outputs of similar age
#63,854
of 200,245 outputs
Outputs of similar age from BMC Ophthalmology
#6
of 15 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,554 research outputs from this source. They receive a mean Attention Score of 2.7. 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 200,245 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.