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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Colored Motifs Reveal Computational Building Blocks in the C. elegans Brain
|
|---|---|
| Published in |
PLOS ONE, March 2011
|
| DOI | 10.1371/journal.pone.0017013 |
| Pubmed ID | |
| Authors |
Jifeng Qian, Arend Hintze, Christoph Adami |
| Abstract |
Complex networks can often be decomposed into less complex sub-networks whose structures can give hints about the functional organization of the network as a whole. However, these structural motifs can only tell one part of the functional story because in this analysis each node and edge is treated on an equal footing. In real networks, two motifs that are topologically identical but whose nodes perform very different functions will play very different roles in the network. |
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 States | 2 | 67% |
| Canada | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 5% |
| Germany | 3 | 3% |
| Hungary | 2 | 2% |
| Turkey | 1 | 1% |
| United Kingdom | 1 | 1% |
| Estonia | 1 | 1% |
| Canada | 1 | 1% |
| Venezuela, Bolivarian Republic of | 1 | 1% |
| Korea, Republic of | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 84 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 27% |
| Researcher | 21 | 21% |
| Professor | 11 | 11% |
| Student > Bachelor | 10 | 10% |
| Professor > Associate Professor | 8 | 8% |
| Other | 18 | 18% |
| Unknown | 5 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 35% |
| Neuroscience | 12 | 12% |
| Physics and Astronomy | 11 | 11% |
| Biochemistry, Genetics and Molecular Biology | 8 | 8% |
| Computer Science | 7 | 7% |
| Other | 18 | 18% |
| Unknown | 9 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 04 July 2019.
All research outputs
#2,104,692
of 22,709,015 outputs
Outputs from PLOS ONE
#26,897
of 193,901 outputs
Outputs of similar age
#9,225
of 108,620 outputs
Outputs of similar age from PLOS ONE
#238
of 1,374 outputs
Altmetric has tracked 22,709,015 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,901 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 86% 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 108,620 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 91% of its contemporaries.
We're also able to compare this research output to 1,374 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.