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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MALDI-TOF-MS serum protein profiling for developing diagnostic models and identifying serum markers for discogenic low back pain
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, June 2014
|
| DOI | 10.1186/1471-2474-15-193 |
| Pubmed ID | |
| Authors |
Yin-gang Zhang, Ren-qi Jiang, Tuan-Mao Guo, Shi-Xun Wu, Wei-Juan Ma |
| Abstract |
The identification of the cause of chronic low back pain (CLBP) represents a great challenge to orthopedists due to the controversy over the diagnosis of discogenic low back pain (DLBP) and the existence of a number of cases of CLBP of unknown origin. This study aimed to develop diagnostic models to distinguish DLBP from other forms of CLBP and to identify serum biomarkers for DLBP. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 46 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 19% |
| Student > Bachelor | 6 | 13% |
| Student > Ph. D. Student | 6 | 13% |
| Researcher | 3 | 6% |
| Student > Postgraduate | 3 | 6% |
| Other | 5 | 11% |
| Unknown | 15 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 26% |
| Nursing and Health Professions | 5 | 11% |
| Agricultural and Biological Sciences | 2 | 4% |
| Neuroscience | 2 | 4% |
| Sports and Recreations | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 17 | 36% |
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 03 June 2014.
All research outputs
#14,134,044
of 22,756,196 outputs
Outputs from BMC Musculoskeletal Disorders
#2,105
of 4,037 outputs
Outputs of similar age
#118,559
of 227,118 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#47
of 103 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,037 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 47th percentile – i.e., 47% 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 227,118 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 103 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 54% of its contemporaries.