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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comprehensive behavioral characterization of an APP/PS-1 double knock-in mouse model of Alzheimer's disease
|
|---|---|
| Published in |
Alzheimer's Research & Therapy, May 2013
|
| DOI | 10.1186/alzrt182 |
| Pubmed ID | |
| Authors |
Scott J Webster, Adam D Bachstetter, Linda J Van Eldik |
| Abstract |
Despite the extensive mechanistic and pathological characterization of the amyloid precursor protein (APP)/presenilin-1 (PS-1) knock-in mouse model of Alzheimer's disease (AD), very little is known about the AD-relevant behavioral deficits in this model. Characterization of the baseline behavioral performance in a variety of functional tasks and identification of the temporal onset of behavioral impairments are important to provide a foundation for future preclinical testing of AD therapeutics. Here we perform a comprehensive behavioral characterization of this model, discuss how the observed behavior correlates with the mechanistic and pathological observations of others, and compare this model with other commonly used AD mouse models. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Kazakhstan | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 182 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 20% |
| Researcher | 30 | 16% |
| Student > Master | 28 | 15% |
| Student > Bachelor | 24 | 13% |
| Student > Postgraduate | 8 | 4% |
| Other | 19 | 10% |
| Unknown | 39 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 27% |
| Neuroscience | 33 | 18% |
| Medicine and Dentistry | 14 | 8% |
| Psychology | 11 | 6% |
| Biochemistry, Genetics and Molecular Biology | 8 | 4% |
| Other | 23 | 12% |
| Unknown | 46 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 2023.
All research outputs
#1,861,520
of 25,371,288 outputs
Outputs from Alzheimer's Research & Therapy
#320
of 1,464 outputs
Outputs of similar age
#15,390
of 207,921 outputs
Outputs of similar age from Alzheimer's Research & Therapy
#6
of 19 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,464 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done well, scoring higher than 78% of its peers.
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 207,921 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 19 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 68% of its contemporaries.