| Title |
Influenza virus exploits tunneling nanotubes for cell-to-cell spread
|
|---|---|
| Published in |
Scientific Reports, January 2017
|
| DOI | 10.1038/srep40360 |
| Pubmed ID | |
| Authors |
Amrita Kumar, Jin Hyang Kim, Priya Ranjan, Maureen G. Metcalfe, Weiping Cao, Margarita Mishina, Shivaprakash Gangappa, Zhu Guo, Edward S. Boyden, Sherif Zaki, Ian York, Adolfo García-Sastre, Michael Shaw, Suryaprakash Sambhara |
X Demographics
The data shown below were collected from the profiles of 74 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 | 22 | 30% |
| United Kingdom | 13 | 18% |
| Canada | 2 | 3% |
| Russia | 2 | 3% |
| Spain | 1 | 1% |
| France | 1 | 1% |
| China | 1 | 1% |
| Switzerland | 1 | 1% |
| Mexico | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 26 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 47 | 64% |
| Scientists | 18 | 24% |
| Practitioners (doctors, other healthcare professionals) | 5 | 7% |
| Science communicators (journalists, bloggers, editors) | 4 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 140 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 30% |
| Researcher | 19 | 13% |
| Student > Master | 18 | 13% |
| Student > Bachelor | 11 | 8% |
| Professor > Associate Professor | 5 | 4% |
| Other | 10 | 7% |
| Unknown | 36 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 41 | 29% |
| Agricultural and Biological Sciences | 25 | 18% |
| Immunology and Microbiology | 10 | 7% |
| Chemistry | 7 | 5% |
| Engineering | 5 | 4% |
| Other | 14 | 10% |
| Unknown | 39 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 52. 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 16 January 2024.
All research outputs
#837,586
of 25,845,895 outputs
Outputs from Scientific Reports
#8,973
of 143,430 outputs
Outputs of similar age
#17,287
of 424,257 outputs
Outputs of similar age from Scientific Reports
#260
of 3,901 outputs
Altmetric has tracked 25,845,895 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 143,430 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has done particularly well, scoring higher than 93% 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 424,257 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 95% of its contemporaries.
We're also able to compare this research output to 3,901 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.