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X Demographics
Mendeley readers
Attention Score in Context
Title |
Identification of Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using Multivariate Predictors
|
---|---|
Published in |
PLOS ONE, July 2011
|
DOI | 10.1371/journal.pone.0021896 |
Pubmed ID | |
Authors |
Yue Cui, Bing Liu, Suhuai Luo, Xiantong Zhen, Ming Fan, Tao Liu, Wanlin Zhu, Mira Park, Tianzi Jiang, Jesse S. Jin |
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 % |
---|---|---|
Chile | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 258 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | <1% |
Italy | 2 | <1% |
United States | 2 | <1% |
France | 1 | <1% |
Switzerland | 1 | <1% |
Sweden | 1 | <1% |
Germany | 1 | <1% |
Argentina | 1 | <1% |
Brazil | 1 | <1% |
Other | 0 | 0% |
Unknown | 246 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 56 | 22% |
Researcher | 42 | 16% |
Student > Master | 32 | 12% |
Student > Doctoral Student | 14 | 5% |
Other | 13 | 5% |
Other | 49 | 19% |
Unknown | 52 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 44 | 17% |
Psychology | 39 | 15% |
Computer Science | 25 | 10% |
Engineering | 22 | 9% |
Neuroscience | 19 | 7% |
Other | 48 | 19% |
Unknown | 61 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 14 August 2011.
All research outputs
#3,722,521
of 23,289,753 outputs
Outputs from PLOS ONE
#46,161
of 198,987 outputs
Outputs of similar age
#19,707
of 120,537 outputs
Outputs of similar age from PLOS ONE
#501
of 2,232 outputs
Altmetric has tracked 23,289,753 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 198,987 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has done well, scoring higher than 76% 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 120,537 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 2,232 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.