You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Abnormal Cortical Networks in Mild Cognitive Impairment and Alzheimer's Disease
|
|---|---|
| Published in |
PLoS Computational Biology, November 2010
|
| DOI | 10.1371/journal.pcbi.1001006 |
| Pubmed ID | |
| Authors |
Zhijun Yao, Yuanchao Zhang, Lei Lin, Yuan Zhou, Cunlu Xu, Tianzi Jiang |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 322 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 2% |
| United Kingdom | 5 | 2% |
| China | 2 | <1% |
| Italy | 1 | <1% |
| Cuba | 1 | <1% |
| Switzerland | 1 | <1% |
| Brazil | 1 | <1% |
| Israel | 1 | <1% |
| Finland | 1 | <1% |
| Other | 5 | 2% |
| Unknown | 298 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 63 | 20% |
| Researcher | 46 | 14% |
| Student > Master | 45 | 14% |
| Professor > Associate Professor | 27 | 8% |
| Student > Postgraduate | 24 | 7% |
| Other | 68 | 21% |
| Unknown | 49 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 51 | 16% |
| Medicine and Dentistry | 48 | 15% |
| Psychology | 46 | 14% |
| Agricultural and Biological Sciences | 33 | 10% |
| Engineering | 29 | 9% |
| Other | 47 | 15% |
| Unknown | 68 | 21% |
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 12 April 2019.
All research outputs
#16,063,069
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#6,970
of 8,964 outputs
Outputs of similar age
#146,955
of 188,379 outputs
Outputs of similar age from PLoS Computational Biology
#38
of 51 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 19th percentile – i.e., 19% 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 188,379 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.