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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantitative assessment of gait and neurochemical correlation in a classical murine model of Parkinson’s disease
|
|---|---|
| Published in |
BMC Neuroscience, November 2012
|
| DOI | 10.1186/1471-2202-13-142 |
| Pubmed ID | |
| Authors |
Xiao Hong Wang, Gang Lu, Xiang Hu, Kam Sze Tsang, Wing Hang Kwong, Feng Xia Wu, Hai Wei Meng, Shu Jiang, Shu Wei Liu, Ho Keung Ng, Wai Sang Poon |
| Abstract |
Gait deficits are important clinical symptoms of Parkinson's disease (PD). However, existing behavioral tests for the detection of motor impairments in rodents with systemic dopamine depletion only measure akinesia and dyskinesia, and data focusing on gait are scarce. We evaluated gait changes in the methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced C57BL/6 murine model of PD by using a computer-assisted CatWalk system. Correlations of gait parameters with tyrosine hydroxylase (TH) protein levels in the substantia nigra (SN) were also investigated. |
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 % |
|---|---|---|
| Peru | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| Colombia | 1 | <1% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 105 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 29% |
| Researcher | 19 | 17% |
| Student > Master | 10 | 9% |
| Student > Bachelor | 10 | 9% |
| Student > Doctoral Student | 6 | 5% |
| Other | 18 | 16% |
| Unknown | 17 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 23% |
| Medicine and Dentistry | 22 | 19% |
| Neuroscience | 18 | 16% |
| Biochemistry, Genetics and Molecular Biology | 10 | 9% |
| Engineering | 4 | 4% |
| Other | 12 | 11% |
| Unknown | 21 | 19% |
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 15 November 2012.
All research outputs
#17,670,751
of 22,685,926 outputs
Outputs from BMC Neuroscience
#812
of 1,240 outputs
Outputs of similar age
#130,818
of 179,003 outputs
Outputs of similar age from BMC Neuroscience
#18
of 29 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,240 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 29th percentile – i.e., 29% 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 179,003 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.