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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Connectome sensitivity or specificity: which is more important?
|
|---|---|
| Published in |
NeuroImage, June 2016
|
| DOI | 10.1016/j.neuroimage.2016.06.035 |
| Pubmed ID | |
| Authors |
Andrew Zalesky, Alex Fornito, Luca Cocchi, Leonardo L. Gollo, Martijn P. van den Heuvel, Michael Breakspear |
X Demographics
The data shown below were collected from the profiles of 39 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 7 | 18% |
| United States | 4 | 10% |
| United Kingdom | 3 | 8% |
| Germany | 2 | 5% |
| Switzerland | 2 | 5% |
| Finland | 2 | 5% |
| Belgium | 2 | 5% |
| Greece | 1 | 3% |
| Canada | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 12 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 24 | 62% |
| Scientists | 14 | 36% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 282 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | <1% |
| Canada | 2 | <1% |
| Switzerland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Netherlands | 1 | <1% |
| Unknown | 275 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 75 | 27% |
| Researcher | 48 | 17% |
| Student > Master | 36 | 13% |
| Student > Doctoral Student | 27 | 10% |
| Student > Bachelor | 12 | 4% |
| Other | 46 | 16% |
| Unknown | 38 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 66 | 23% |
| Psychology | 33 | 12% |
| Medicine and Dentistry | 23 | 8% |
| Engineering | 21 | 7% |
| Computer Science | 19 | 7% |
| Other | 48 | 17% |
| Unknown | 72 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 09 June 2019.
All research outputs
#1,687,255
of 25,738,558 outputs
Outputs from NeuroImage
#1,161
of 12,284 outputs
Outputs of similar age
#30,125
of 368,268 outputs
Outputs of similar age from NeuroImage
#21
of 179 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,284 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done particularly well, scoring higher than 90% 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 368,268 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 179 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.