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Mendeley readers
Attention Score in Context
| Title |
Small is fast: astrocytic glucose and lactate metabolism at cellular resolution
|
|---|---|
| Published in |
Frontiers in Cellular Neuroscience, January 2013
|
| DOI | 10.3389/fncel.2013.00027 |
| Pubmed ID | |
| Authors |
L. F. Barros, A. San Martín, T. Sotelo-Hitschfeld, R. Lerchundi, I. Fernández-Moncada, I. Ruminot, R. Gutiérrez, R. Valdebenito, S. Ceballo, K. Alegría, F. Baeza-Lehnert, D. Espinoza |
| Abstract |
Brain tissue is highly dynamic in terms of electrical activity and energy demand. Relevant energy metabolites have turnover times ranging from milliseconds to seconds and are rapidly exchanged between cells and within cells. Until recently these fast metabolic events were inaccessible, because standard isotopic techniques require use of populations of cells and/or involve integration times of tens of minutes. Thanks to fluorescent probes and recently available genetically-encoded optical nanosensors, this Technology Report shows how it is now possible to monitor the concentration of metabolites in real-time and in single cells. In combination with ad hoc inhibitor-stop protocols, these probes have revealed a key role for K(+) in the acute stimulation of astrocytic glycolysis by synaptic activity. They have also permitted detection of the Warburg effect in single cancer cells. Genetically-encoded nanosensors currently exist for glucose, lactate, NADH and ATP, and it is envisaged that other metabolite nanosensors will soon be available. These optical tools together with improved expression systems and in vivo imaging, herald an exciting era of single-cell metabolic analysis. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 50% |
| Unknown | 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 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Chile | 1 | <1% |
| Ireland | 1 | <1% |
| France | 1 | <1% |
| United Kingdom | 1 | <1% |
| South Africa | 1 | <1% |
| Unknown | 149 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 24% |
| Researcher | 28 | 18% |
| Student > Master | 16 | 10% |
| Student > Postgraduate | 13 | 8% |
| Student > Bachelor | 9 | 6% |
| Other | 30 | 19% |
| Unknown | 22 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 28% |
| Neuroscience | 29 | 19% |
| Biochemistry, Genetics and Molecular Biology | 26 | 17% |
| Engineering | 12 | 8% |
| Medicine and Dentistry | 10 | 6% |
| Other | 12 | 8% |
| Unknown | 23 | 15% |
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 26 March 2013.
All research outputs
#17,682,134
of 22,701,287 outputs
Outputs from Frontiers in Cellular Neuroscience
#2,908
of 4,208 outputs
Outputs of similar age
#210,147
of 280,698 outputs
Outputs of similar age from Frontiers in Cellular Neuroscience
#124
of 203 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,208 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 23rd percentile – i.e., 23% 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 280,698 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 203 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.