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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Multi-OMICs and Multi-Tissue Characterization in a Pre- and Postprandial State in Human Volunteers: The GEMM Family Study Research Design
|
|---|---|
| Published in |
Genes, November 2018
|
| DOI | 10.3390/genes9110532 |
| Pubmed ID | |
| Authors |
Raul A. Bastarrachea, Hugo A. Laviada-Molina, Edna J. Nava-Gonzalez, Irene Leal-Berumen, Claudia Escudero-Lourdes, Fabiola Escalante-Araiza, Vanessa-Giselle Peschard, Rosa A. Veloz-Garza, Karin Haack, Angélica Martínez-Hernández, Francisco M. Barajas-Olmos, Fernanda Molina-Segui, Fatima A. Buenfil-Rello, Lucia Gonzalez-Ramirez, Reinhard Janssen-Aguilar, Ricardo Lopez-Muñoz, Fernanda Perez-Cetina, Janeth F. Gaytan-Saucedo, Zoila Vaquera, Judith Cornejo-Barrera, Juan Carlos Castillo-Pineda, Areli Murillo-Ramirez, Sara P. Diaz-Tena, Benigno Figueroa-Nuñez, Laura González-López, Rocío A. Salinas-Osornio, Melesio E. Valencia-Rendón, José Ángeles-Chimal, Jesús Santa-Olalla Tapia, José M. Remes-Troche, Salvador B. Valdovinos-Chavez, Eira E. Huerta-Avila, Xianlin Han, Lorena Orozco, Ernesto Rodriguez-Ayala, Susan Weintraub, Esther C. Gallegos-Cabrales, Shelley A. Cole, Jack W. Kent |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 15% |
| Researcher | 8 | 15% |
| Student > Master | 6 | 11% |
| Student > Bachelor | 6 | 11% |
| Other | 4 | 7% |
| Other | 10 | 19% |
| Unknown | 12 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 19% |
| Nursing and Health Professions | 9 | 17% |
| Medicine and Dentistry | 8 | 15% |
| Agricultural and Biological Sciences | 6 | 11% |
| Psychology | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 17 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 12 November 2018.
All research outputs
#7,043,108
of 23,112,054 outputs
Outputs from Genes
#1,342
of 5,585 outputs
Outputs of similar age
#127,806
of 351,130 outputs
Outputs of similar age from Genes
#35
of 138 outputs
Altmetric has tracked 23,112,054 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 5,585 research outputs from this source. They receive a mean Attention Score of 4.6. 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 351,130 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 63% of its contemporaries.
We're also able to compare this research output to 138 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 74% of its contemporaries.