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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Crowdsourcing the creation of image segmentation algorithms for connectomics
|
|---|---|
| Published in |
Frontiers in Neuroanatomy, November 2015
|
| DOI | 10.3389/fnana.2015.00142 |
| Pubmed ID | |
| Authors |
Ignacio Arganda-Carreras, Srinivas C. Turaga, Daniel R. Berger, Dan Cireşan, Alessandro Giusti, Luca M. Gambardella, Jürgen Schmidhuber, Dmitry Laptev, Sarvesh Dwivedi, Joachim M. Buhmann, Ting Liu, Mojtaba Seyedhosseini, Tolga Tasdizen, Lee Kamentsky, Radim Burget, Vaclav Uher, Xiao Tan, Changming Sun, Tuan D. Pham, Erhan Bas, Mustafa G. Uzunbas, Albert Cardona, Johannes Schindelin, H. Sebastian Seung |
X Demographics
The data shown below were collected from the profiles of 7 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 | 29% |
| Germany | 1 | 14% |
| Switzerland | 1 | 14% |
| Japan | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Germany | 2 | <1% |
| France | 1 | <1% |
| Austria | 1 | <1% |
| Unknown | 222 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 26% |
| Student > Master | 39 | 17% |
| Researcher | 34 | 15% |
| Student > Bachelor | 16 | 7% |
| Other | 9 | 4% |
| Other | 25 | 11% |
| Unknown | 46 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 64 | 28% |
| Engineering | 35 | 15% |
| Neuroscience | 23 | 10% |
| Agricultural and Biological Sciences | 13 | 6% |
| Medicine and Dentistry | 9 | 4% |
| Other | 28 | 12% |
| Unknown | 56 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 December 2020.
All research outputs
#7,585,221
of 25,998,826 outputs
Outputs from Frontiers in Neuroanatomy
#440
of 1,272 outputs
Outputs of similar age
#89,231
of 300,751 outputs
Outputs of similar age from Frontiers in Neuroanatomy
#5
of 34 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,272 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 65% 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 300,751 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.