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Artificial tears potpourri: a literature review

Overview of attention for article published in Clinical Ophthalmology, July 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
2 blogs
twitter
5 X users
patent
17 patents
wikipedia
7 Wikipedia pages
video
1 YouTube creator

Citations

dimensions_citation
107 Dimensions

Readers on

mendeley
172 Mendeley
Title
Artificial tears potpourri: a literature review
Published in
Clinical Ophthalmology, July 2014
DOI 10.2147/opth.s65263
Pubmed ID
Authors

Majid Moshirfar, Kasey Pierson, Kamalani Hanamaikai, Luis Santiago-Caban, Valliammai Muthappan, Samuel F Passi

Abstract

Numerous brands and types of artificial tears are available on the market for the treatment of dysfunctional tear syndrome. Past literature has focused on comparing the components of these products on patient's clinical improvement. The wide array of products on the market presents challenges to both clinicians and patients when trying to choose between available tear replacement therapies. Different formulations affect patients based on etiology and severity of disease. In order to provide an unbiased comparison between available tear replacement therapies, we conducted a literature review of existing studies and National Institutes of Health clinical trials on commercially available, brand name artificial tears. Outcomes evaluated in each study, as well as the percent of patients showing clinical and symptomatic improvement, were analyzed. Fifty-one studies evaluating different brands of artificial tears, and their efficacy were identified. Out of the 51 studies, 18 were comparison studies testing brand name artificial tears directly against each other. Nearly all formulations of artificial tears provided significant benefit to patients with dysfunctional tear syndrome, but some proved superior to others. From the study data, a recommended treatment flowchart was derived.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 1%
Unknown 170 99%

Demographic breakdown

Readers by professional status Count As %
Other 21 12%
Student > Bachelor 19 11%
Researcher 19 11%
Student > Master 19 11%
Student > Ph. D. Student 17 10%
Other 16 9%
Unknown 61 35%
Readers by discipline Count As %
Medicine and Dentistry 37 22%
Pharmacology, Toxicology and Pharmaceutical Science 14 8%
Agricultural and Biological Sciences 12 7%
Nursing and Health Professions 10 6%
Engineering 8 5%
Other 21 12%
Unknown 70 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 16 April 2024.
All research outputs
#1,034,254
of 25,374,647 outputs
Outputs from Clinical Ophthalmology
#67
of 3,712 outputs
Outputs of similar age
#9,954
of 242,347 outputs
Outputs of similar age from Clinical Ophthalmology
#1
of 47 outputs
Altmetric has tracked 25,374,647 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 3,712 research outputs from this source. They receive a mean Attention Score of 4.9. 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 242,347 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 95% of its contemporaries.
We're also able to compare this research output to 47 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 97% of its contemporaries.