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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Tunneling Nanotubes and Gap Junctions–Their Role in Long-Range Intercellular Communication during Development, Health, and Disease Conditions
|
|---|---|
| Published in |
Frontiers in Molecular Neuroscience, October 2017
|
| DOI | 10.3389/fnmol.2017.00333 |
| Pubmed ID | |
| Authors |
Jennifer Ariazi, Andrew Benowitz, Vern De Biasi, Monique L. Den Boer, Stephanie Cherqui, Haifeng Cui, Nathalie Douillet, Eliseo A. Eugenin, David Favre, Spencer Goodman, Karine Gousset, Dorit Hanein, David I. Israel, Shunsuke Kimura, Robert B. Kirkpatrick, Nastaran Kuhn, Claire Jeong, Emil Lou, Robbie Mailliard, Stephen Maio, George Okafo, Matthias Osswald, Jennifer Pasquier, Roel Polak, Gabriele Pradel, Bob de Rooij, Peter Schaeffer, Vytenis A. Skeberdis, Ian F. Smith, Ahmad Tanveer, Niels Volkmann, Zhenhua Wu, Chiara Zurzolo |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 25% |
| United States | 1 | 13% |
| Singapore | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 3 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
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 % |
|---|---|---|
| Unknown | 228 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 22% |
| Researcher | 41 | 18% |
| Student > Bachelor | 27 | 12% |
| Student > Master | 24 | 11% |
| Student > Doctoral Student | 13 | 6% |
| Other | 23 | 10% |
| Unknown | 49 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 76 | 33% |
| Agricultural and Biological Sciences | 22 | 10% |
| Neuroscience | 16 | 7% |
| Medicine and Dentistry | 14 | 6% |
| Immunology and Microbiology | 8 | 4% |
| Other | 35 | 15% |
| Unknown | 57 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 10 October 2018.
All research outputs
#1,565,284
of 25,837,817 outputs
Outputs from Frontiers in Molecular Neuroscience
#115
of 3,372 outputs
Outputs of similar age
#30,720
of 338,018 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#7
of 118 outputs
Altmetric has tracked 25,837,817 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 3,372 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 96% 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 338,018 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 90% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.