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Mendeley readers
Attention Score in Context
| Title |
Up–Down Reader: An Open Source Program for Efficiently Processing 50% von Frey Thresholds
|
|---|---|
| Published in |
Frontiers in Pharmacology, May 2018
|
| DOI | 10.3389/fphar.2018.00433 |
| Pubmed ID | |
| Authors |
Rafael Gonzalez-Cano, Bruno Boivin, Daniel Bullock, Laura Cornelissen, Nick Andrews, Michael Costigan |
| Abstract |
Most pathological pain conditions in patients and rodent pain models result in marked alterations in mechanosensation and the gold standard way to measure this is by use of von Frey fibers. These graded monofilaments are used to gauge the level of stimulus-evoked sensitivity present in the affected dermal region. One of the most popular methods used to determine von Frey thresholds is the up-down testing paradigm introduced by Dixon for patients in 1980 and by Chapman and colleagues for rodents in 1994. Although the up-down method is very accurate, leading to its widespread use, defining the 50% threshold from primary data is complex and requires a relatively time-consuming analysis step. We developed a computer program, the Up-Down Reader (UDReader), that can locate and recognize handwritten von Frey assessments from a scanned PDF document and translate these measurements into 50% pain thresholds. Automating the process of obtaining the 50% threshold values negates the need for reference tables or Microsoft Excel formulae and eliminates the chance of a manual calculation error. Our simple and straightforward method is designed to save research time while improving data collection accuracy and is freely available at https://sourceforge.net/projects/updownreader/ or in supplementary files attached to this manuscript. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 85 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 19% |
| Student > Master | 10 | 12% |
| Student > Ph. D. Student | 9 | 11% |
| Student > Bachelor | 8 | 9% |
| Student > Postgraduate | 8 | 9% |
| Other | 7 | 8% |
| Unknown | 27 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 15 | 18% |
| Biochemistry, Genetics and Molecular Biology | 12 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 8% |
| Agricultural and Biological Sciences | 6 | 7% |
| Medicine and Dentistry | 5 | 6% |
| Other | 10 | 12% |
| Unknown | 30 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 10 May 2018.
All research outputs
#19,017,658
of 23,577,761 outputs
Outputs from Frontiers in Pharmacology
#8,793
of 17,176 outputs
Outputs of similar age
#254,708
of 327,484 outputs
Outputs of similar age from Frontiers in Pharmacology
#188
of 400 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,176 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 327,484 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 400 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.