The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 |
CoCoMac 2.0 and the future of tract-tracing databases
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, January 2012
|
| DOI | 10.3389/fninf.2012.00030 |
| Pubmed ID | |
| Authors |
Rembrandt Bakker, Thomas Wachtler, Markus Diesmann |
| Abstract |
The CoCoMac database contains the results of several hundred published axonal tract-tracing studies in the macaque monkey brain. The combined results are used for constructing the macaque macro-connectome. Here we discuss the redevelopment of CoCoMac and compare it to six connectome-related projects: two online resources that provide full access to raw tracing data in rodents, a connectome viewer for advanced 3D graphics, a partial but highly detailed rat connectome, a brain data management system that generates custom connectivity matrices, and a software package that covers the complete pipeline from connectivity data to large-scale brain simulations. The second edition of CoCoMac features many enhancements over the original. For example, a search wizard is provided for full access to all tables and their nested dependencies. Connectivity matrices can be computed on demand in a user-selected nomenclature. A new data entry system is available as a preview, and is to become a generic solution for community-driven data entry in manually collated databases. We conclude with the question whether neuronal tracing will remain the gold standard to uncover the wiring of brains, thereby highlighting developments in human connectome construction, tracer substances, polarized light imaging, and serial block-face scanning electron microscopy. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Ireland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| France | 2 | 1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 144 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 42 | 27% |
| Student > Ph. D. Student | 39 | 25% |
| Student > Bachelor | 12 | 8% |
| Professor | 9 | 6% |
| Student > Doctoral Student | 9 | 6% |
| Other | 22 | 14% |
| Unknown | 20 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 40 | 26% |
| Agricultural and Biological Sciences | 26 | 17% |
| Computer Science | 14 | 9% |
| Medicine and Dentistry | 11 | 7% |
| Engineering | 11 | 7% |
| Other | 24 | 16% |
| Unknown | 27 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 January 2013.
All research outputs
#18,325,190
of 22,691,736 outputs
Outputs from Frontiers in Neuroinformatics
#624
of 743 outputs
Outputs of similar age
#196,007
of 244,134 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#21
of 24 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 743 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 9th percentile – i.e., 9% 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 244,134 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.