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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fast Genome-Wide Functional Annotation through Orthology Assignment by eggNOG-Mapper
|
|---|---|
| Published in |
Molecular Biology and Evolution, April 2017
|
| DOI | 10.1093/molbev/msx148 |
| Pubmed ID | |
| Authors |
Jaime Huerta-Cepas, Kristoffer Forslund, Luis Pedro Coelho, Damian Szklarczyk, Lars Juhl Jensen, Christian von Mering, Peer Bork |
X Demographics
The data shown below were collected from the profiles of 33 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 | 4 | 12% |
| Germany | 2 | 6% |
| United Kingdom | 1 | 3% |
| Montenegro | 1 | 3% |
| Spain | 1 | 3% |
| Australia | 1 | 3% |
| Chile | 1 | 3% |
| China | 1 | 3% |
| Unknown | 21 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 48% |
| Members of the public | 16 | 48% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,324 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | <1% |
| Germany | 1 | <1% |
| Mexico | 1 | <1% |
| Switzerland | 1 | <1% |
| Denmark | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 1317 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 294 | 22% |
| Researcher | 211 | 16% |
| Student > Master | 180 | 14% |
| Student > Bachelor | 134 | 10% |
| Student > Doctoral Student | 58 | 4% |
| Other | 133 | 10% |
| Unknown | 314 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 350 | 26% |
| Agricultural and Biological Sciences | 350 | 26% |
| Immunology and Microbiology | 71 | 5% |
| Environmental Science | 43 | 3% |
| Computer Science | 42 | 3% |
| Other | 120 | 9% |
| Unknown | 348 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 January 2023.
All research outputs
#1,239,094
of 25,837,817 outputs
Outputs from Molecular Biology and Evolution
#526
of 5,307 outputs
Outputs of similar age
#23,945
of 328,203 outputs
Outputs of similar age from Molecular Biology and Evolution
#14
of 78 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,307 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 89% 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 328,203 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 78 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.