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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Advances and Applications in the Quest for Orthologs
|
|---|---|
| Published in |
Molecular Biology and Evolution, June 2019
|
| DOI | 10.1093/molbev/msz150 |
| Pubmed ID | |
| Authors |
Natasha Glover, Christophe Dessimoz, Ingo Ebersberger, Sofia K Forslund, Toni Gabaldón, Jaime Huerta-Cepas, Maria-Jesus Martin, Matthieu Muffato, Mateus Patricio, Cécile Pereira, Alan Sousa da Silva, Yan Wang, Erik Sonnhammer, Paul D Thomas, Adrian Altenhoff, Judith A Blake, Salvador Capella-Gutierrez, Hirokazu Chiba, Dannie Durand, Jesualdo Tomás Fernández-Breis, Sofia Forslund, Toni Gabaldon, Odile Lecompte, Suzanna Lewis, Benjamin Linard, Marina Marcet Houben, Edward M Marcotte, Claire McWhite, Tarcisio Mendes de Farias, Yannis Nevers, Leszek Pryszcz, Surya Saha, Philipp Schiffer, Haiming Tang, Ikuo Uchiyama |
X Demographics
The data shown below were collected from the profiles of 55 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 10 | 18% |
| Switzerland | 5 | 9% |
| Germany | 4 | 7% |
| United States | 4 | 7% |
| United Kingdom | 4 | 7% |
| Canada | 2 | 4% |
| France | 2 | 4% |
| Italy | 1 | 2% |
| Belgium | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 18 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 33 | 60% |
| Members of the public | 22 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 147 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 20% |
| Student > Master | 23 | 16% |
| Researcher | 19 | 13% |
| Student > Bachelor | 18 | 12% |
| Student > Postgraduate | 7 | 5% |
| Other | 22 | 15% |
| Unknown | 29 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 55 | 37% |
| Agricultural and Biological Sciences | 41 | 28% |
| Computer Science | 7 | 5% |
| Immunology and Microbiology | 2 | 1% |
| Physics and Astronomy | 2 | 1% |
| Other | 8 | 5% |
| Unknown | 32 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 07 May 2023.
All research outputs
#1,329,951
of 25,736,439 outputs
Outputs from Molecular Biology and Evolution
#589
of 5,252 outputs
Outputs of similar age
#28,256
of 366,982 outputs
Outputs of similar age from Molecular Biology and Evolution
#13
of 62 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,252 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.9. This one has done well, scoring higher than 88% 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 366,982 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 92% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.