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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Functional Brain Networks Develop from a “Local to Distributed” Organization
|
|---|---|
| Published in |
PLoS Computational Biology, May 2009
|
| DOI | 10.1371/journal.pcbi.1000381 |
| Pubmed ID | |
| Authors |
Damien A. Fair, Alexander L. Cohen, Jonathan D. Power, Nico U. F. Dosenbach, Jessica A. Church, Francis M. Miezin, Bradley L. Schlaggar, Steven E. Petersen |
X Demographics
The data shown below were collected from the profiles of 16 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 States | 2 | 13% |
| Italy | 1 | 6% |
| France | 1 | 6% |
| Switzerland | 1 | 6% |
| Unknown | 11 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 69% |
| Practitioners (doctors, other healthcare professionals) | 2 | 13% |
| Scientists | 2 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,511 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 55 | 4% |
| United Kingdom | 18 | 1% |
| Netherlands | 9 | <1% |
| Canada | 8 | <1% |
| Germany | 5 | <1% |
| India | 4 | <1% |
| Spain | 4 | <1% |
| Brazil | 3 | <1% |
| Japan | 3 | <1% |
| Other | 23 | 2% |
| Unknown | 1379 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 390 | 26% |
| Researcher | 327 | 22% |
| Student > Master | 149 | 10% |
| Professor > Associate Professor | 90 | 6% |
| Student > Doctoral Student | 83 | 5% |
| Other | 293 | 19% |
| Unknown | 179 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 400 | 26% |
| Neuroscience | 241 | 16% |
| Agricultural and Biological Sciences | 159 | 11% |
| Medicine and Dentistry | 151 | 10% |
| Engineering | 79 | 5% |
| Other | 194 | 13% |
| Unknown | 287 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 10 December 2023.
All research outputs
#1,259,622
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#1,016
of 9,043 outputs
Outputs of similar age
#3,200
of 105,057 outputs
Outputs of similar age from PLoS Computational Biology
#6
of 52 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 88% 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 105,057 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 96% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.