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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of a Stepping Force Analgesic Meter for a Rat Arthritic Model
|
|---|---|
| Published in |
Sensors, May 2011
|
| DOI | 10.3390/s110505058 |
| Pubmed ID | |
| Authors |
Mun Fei Yam, Lip Yee Por, Kok Khiang Peh, Mariam Ahmad, Mohd. Zaini Asmawi, Lee Fung Ang, Delina Beh Mei Yin, Sim Ying Ong, Muthanna Fawzy Abdulkarim, Ghassan Zuhair Abdullah, Ibrahim Muhammad Salman, Omar Ziad Ameer, Elsnoussi Ali Hussin Mohamed, Mohd Akmal Hashim, Elham Farsi, Sook Yee Hor |
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 % |
|---|---|---|
| United States | 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 7% |
| Unknown | 14 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 13% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Student > Master | 1 | 7% |
| Researcher | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 7 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Nursing and Health Professions | 1 | 7% |
| Sports and Recreations | 1 | 7% |
| Computer Science | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 7 | 47% |
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 09 April 2015.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from Sensors
#14,401
of 24,303 outputs
Outputs of similar age
#106,297
of 122,146 outputs
Outputs of similar age from Sensors
#61
of 66 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,303 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 31st percentile – i.e., 31% 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 122,146 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.