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 |
Network Analysis of Intrinsic Functional Brain Connectivity in Alzheimer's Disease
|
|---|---|
| Published in |
PLoS Computational Biology, June 2008
|
| DOI | 10.1371/journal.pcbi.1000100 |
| Pubmed ID | |
| Authors |
Kaustubh Supekar, Vinod Menon, Daniel Rubin, Mark Musen, Michael D. Greicius |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 987 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 23 | 2% |
| United Kingdom | 9 | <1% |
| Italy | 5 | <1% |
| Germany | 5 | <1% |
| Netherlands | 4 | <1% |
| China | 4 | <1% |
| Brazil | 3 | <1% |
| Spain | 3 | <1% |
| Russia | 2 | <1% |
| Other | 21 | 2% |
| Unknown | 908 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 257 | 26% |
| Researcher | 186 | 19% |
| Student > Master | 124 | 13% |
| Professor > Associate Professor | 66 | 7% |
| Student > Bachelor | 58 | 6% |
| Other | 168 | 17% |
| Unknown | 128 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 159 | 16% |
| Psychology | 129 | 13% |
| Medicine and Dentistry | 128 | 13% |
| Agricultural and Biological Sciences | 121 | 12% |
| Engineering | 100 | 10% |
| Other | 164 | 17% |
| Unknown | 186 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 20 April 2019.
All research outputs
#15,528,733
of 26,017,215 outputs
Outputs from PLoS Computational Biology
#6,452
of 9,038 outputs
Outputs of similar age
#84,209
of 100,614 outputs
Outputs of similar age from PLoS Computational Biology
#28
of 39 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,038 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 27th percentile – i.e., 27% 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 100,614 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.