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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A diagnostic support tool for lumbar spinal stenosis: a self-administered, self-reported history questionnaire
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, October 2007
|
| DOI | 10.1186/1471-2474-8-102 |
| Pubmed ID | |
| Authors |
Shin-ichi Konno, Shin-ichi Kikuchi, Yasuhisa Tanaka, Ken Yamazaki, You-ichi Shimada, Hiroshi Takei, Toru Yokoyama, Masahiro Okada, Shou-ichi Kokubun |
| Abstract |
There is no validated gold-standard diagnostic support tool for LSS, and therefore an accurate diagnosis depends on clinical assessment. Assessment of the diagnostic value of the history of the patient requires an evaluation of the differences and overlap of symptoms of the radicular and cauda equina types; however, no tool is available for evaluation of the LSS category. We attempted to develop a self-administered, self-reported history questionnaire as a diagnostic support tool for LSS using a clinical epidemiological approach. The aim of the present study was to use this tool to assess the diagnostic value of the history of the patient for categorization of LSS. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 67% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 2% |
| United Kingdom | 1 | <1% |
| Netherlands | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 119 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 19 | 15% |
| Student > Master | 17 | 14% |
| Researcher | 16 | 13% |
| Other | 11 | 9% |
| Student > Ph. D. Student | 10 | 8% |
| Other | 31 | 25% |
| Unknown | 20 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 60 | 48% |
| Nursing and Health Professions | 21 | 17% |
| Engineering | 3 | 2% |
| Psychology | 3 | 2% |
| Agricultural and Biological Sciences | 3 | 2% |
| Other | 12 | 10% |
| Unknown | 22 | 18% |
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 08 August 2016.
All research outputs
#15,277,584
of 25,010,497 outputs
Outputs from BMC Musculoskeletal Disorders
#2,175
of 4,353 outputs
Outputs of similar age
#70,970
of 83,581 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#7
of 10 outputs
Altmetric has tracked 25,010,497 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,353 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 49th percentile – i.e., 49% 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 83,581 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.