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.
Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
A Bimolecular Multicellular Complementation System for the Detection of Syncytium Formation: A New Methodology for the Identification of Nipah Virus Entry Inhibitors
|
|---|---|
| Published in |
Viruses, March 2019
|
| DOI | 10.3390/v11030229 |
| Pubmed ID | |
| Authors |
María García-Murria, Neus Expósito-Domínguez, Gerard Duart, Ismael Mingarro, Luis Martinez-Gil |
Twitter Demographics
The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 25% |
| Venezuela, Bolivarian Republic of | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 4 | 20% |
| Student > Bachelor | 3 | 15% |
| Student > Ph. D. Student | 3 | 15% |
| Student > Master | 2 | 10% |
| Student > Postgraduate | 2 | 10% |
| Other | 2 | 10% |
| Unknown | 4 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 40% |
| Agricultural and Biological Sciences | 4 | 20% |
| Medicine and Dentistry | 2 | 10% |
| Immunology and Microbiology | 1 | 5% |
| Chemistry | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 4 | 20% |
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 21 March 2019.
All research outputs
#13,287,847
of 23,136,540 outputs
Outputs from Viruses
#3,843
of 8,654 outputs
Outputs of similar age
#171,720
of 352,356 outputs
Outputs of similar age from Viruses
#131
of 245 outputs
Altmetric has tracked 23,136,540 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 8,654 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has gotten more attention than average, scoring higher than 54% 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 352,356 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 50% of its contemporaries.
We're also able to compare this research output to 245 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.