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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CXCL17 Is a Specific Diagnostic Biomarker for Severe Pandemic Influenza A(H1N1) That Predicts Poor Clinical Outcome
|
|---|---|
| Published in |
Frontiers in immunology, February 2021
|
| DOI | 10.3389/fimmu.2021.633297 |
| Pubmed ID | |
| Authors |
Jose Alberto Choreño-Parra, Luis Armando Jiménez-Álvarez, Gustavo Ramírez-Martínez, Montserrat Sandoval-Vega, Citlaltepetl Salinas-Lara, Carlos Sánchez-Garibay, Cesar Luna-Rivero, Erika Mariana Hernández-Montiel, Luis Alejandro Fernández-López, María Fernanda Cabrera-Cornejo, Eduardo Misael Choreño-Parra, Alfredo Cruz-Lagunas, Andrea Domínguez, Eduardo Márquez-García, Carlos Cabello-Gutiérrez, Francina Valezka Bolaños-Morales, Lourdes Mena-Hernández, Diego Delgado-Zaldivar, Daniel Rebolledo-García, Parménides Guadarrama-Ortiz, Nora E. Regino-Zamarripa, Criselda Mendoza-Milla, Ethel A. García-Latorre, Tatiana Sofía Rodríguez-Reyna, Diana Cervántes-Rosete, Carmen M. Hernández-Cárdenas, Shabaana A. Khader, Albert Zlotnik, Joaquín Zúñiga |
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 % |
|---|---|---|
| United States | 2 | 25% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 14% |
| Researcher | 9 | 12% |
| Student > Doctoral Student | 6 | 8% |
| Other | 4 | 5% |
| Student > Master | 4 | 5% |
| Other | 7 | 9% |
| Unknown | 35 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 26% |
| Nursing and Health Professions | 4 | 5% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Immunology and Microbiology | 3 | 4% |
| Environmental Science | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 36 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 15 April 2021.
All research outputs
#7,002,842
of 25,387,668 outputs
Outputs from Frontiers in immunology
#7,613
of 31,541 outputs
Outputs of similar age
#150,993
of 450,206 outputs
Outputs of similar age from Frontiers in immunology
#386
of 1,243 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 31,541 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 75% 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 450,206 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 66% of its contemporaries.
We're also able to compare this research output to 1,243 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.