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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cell Banking of HEK293T cell line for clinical-grade lentiviral particles manufacturing
|
|---|---|
| Published in |
Translational Medicine Communications, November 2020
|
| DOI | 10.1186/s41231-020-00075-w |
| Authors |
Unai Perpiñá, Cristina Herranz, Raquel Martín-Ibáñez, Anna Boronat, Felipe Chiappe, Verónica Monforte, Gemma Orpella-Aceret, Ester González, Myriam Olivé, María Castella, Guillermo Suñé, Álvaro Urbano-Ispizua, Julio Delgado, Manel Juan, Josep M. Canals |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 26% |
| Student > Ph. D. Student | 8 | 21% |
| Researcher | 7 | 18% |
| Other | 3 | 8% |
| Student > Master | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 33% |
| Immunology and Microbiology | 4 | 10% |
| Agricultural and Biological Sciences | 3 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Chemical Engineering | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 9 | 23% |
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 24 November 2020.
All research outputs
#18,771,452
of 23,263,851 outputs
Outputs from Translational Medicine Communications
#50
of 83 outputs
Outputs of similar age
#377,688
of 507,257 outputs
Outputs of similar age from Translational Medicine Communications
#7
of 10 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 83 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 8th percentile – i.e., 8% 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 507,257 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.