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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Golgi: Interactive Online Brain Mapping
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, November 2015
|
| DOI | 10.3389/fninf.2015.00026 |
| Pubmed ID | |
| Authors |
Ramsay A. Brown, Larry W. Swanson |
| Abstract |
Golgi (http://www.usegolgi.com) is a prototype interactive brain map of the rat brain that helps researchers intuitively interact with neuroanatomy, connectomics, and cellular and chemical architecture. The flood of "-omic" data urges new ways to help researchers connect discrete findings to the larger context of the nervous system. Here we explore Golgi's underlying reasoning and techniques and how our design decisions balance the constraints of building both a scientifically useful and usable tool. We demonstrate how Golgi can enhance connectomic literature searches with a case study investigating a thalamocortical circuit involving the Nucleus Accumbens and we explore Golgi's potential and future directions for growth in systems neuroscience and connectomics. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 33% |
| France | 1 | 17% |
| United Kingdom | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 8% |
| Germany | 1 | 8% |
| Unknown | 10 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 33% |
| Researcher | 2 | 17% |
| Student > Bachelor | 1 | 8% |
| Other | 1 | 8% |
| Professor > Associate Professor | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 25% |
| Neuroscience | 2 | 17% |
| Psychology | 1 | 8% |
| Computer Science | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 13 January 2016.
All research outputs
#12,938,548
of 22,833,393 outputs
Outputs from Frontiers in Neuroinformatics
#405
of 749 outputs
Outputs of similar age
#175,496
of 386,426 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#3
of 7 outputs
Altmetric has tracked 22,833,393 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 749 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 44th percentile – i.e., 44% 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 386,426 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 53% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.