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X Demographics
Mendeley readers
Attention Score in Context
| Title |
eggNOG 4.5: a hierarchical orthology framework with improved functional annotations for eukaryotic, prokaryotic and viral sequences
|
|---|---|
| Published in |
Nucleic Acids Research, November 2015
|
| DOI | 10.1093/nar/gkv1248 |
| Pubmed ID | |
| Authors |
Jaime Huerta-Cepas, Damian Szklarczyk, Kristoffer Forslund, Helen Cook, Davide Heller, Mathias C. Walter, Thomas Rattei, Daniel R. Mende, Shinichi Sunagawa, Michael Kuhn, Lars Juhl Jensen, Christian von Mering, Peer Bork |
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 % |
|---|---|---|
| Germany | 1 | 13% |
| United States | 1 | 13% |
| France | 1 | 13% |
| Brazil | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 63% |
| Members of the public | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,258 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 6 | <1% |
| United States | 5 | <1% |
| Spain | 3 | <1% |
| United Kingdom | 3 | <1% |
| France | 2 | <1% |
| Australia | 2 | <1% |
| Brazil | 2 | <1% |
| Italy | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 9 | <1% |
| Unknown | 1224 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 309 | 25% |
| Researcher | 233 | 19% |
| Student > Master | 185 | 15% |
| Student > Bachelor | 133 | 11% |
| Student > Doctoral Student | 52 | 4% |
| Other | 139 | 11% |
| Unknown | 207 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 448 | 36% |
| Biochemistry, Genetics and Molecular Biology | 316 | 25% |
| Immunology and Microbiology | 56 | 4% |
| Computer Science | 49 | 4% |
| Environmental Science | 44 | 3% |
| Other | 85 | 7% |
| Unknown | 260 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 25 January 2024.
All research outputs
#3,722,734
of 25,837,817 outputs
Outputs from Nucleic Acids Research
#5,180
of 27,769 outputs
Outputs of similar age
#57,539
of 398,210 outputs
Outputs of similar age from Nucleic Acids Research
#134
of 416 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,769 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 81% 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 398,210 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 416 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 67% of its contemporaries.