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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets
|
|---|---|
| Published in |
Nucleic Acids Research, November 2018
|
| DOI | 10.1093/nar/gky1131 |
| Pubmed ID | |
| Authors |
Damian Szklarczyk, Annika L Gable, David Lyon, Alexander Junge, Stefan Wyder, Jaime Huerta-Cepas, Milan Simonovic, Nadezhda T Doncheva, John H Morris, Peer Bork, Lars J Jensen, Christian von Mering |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 13% |
| Switzerland | 1 | 13% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 5,999 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5999 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1068 | 18% |
| Student > Bachelor | 702 | 12% |
| Student > Master | 682 | 11% |
| Researcher | 666 | 11% |
| Student > Doctoral Student | 286 | 5% |
| Other | 631 | 11% |
| Unknown | 1964 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1734 | 29% |
| Agricultural and Biological Sciences | 662 | 11% |
| Medicine and Dentistry | 316 | 5% |
| Immunology and Microbiology | 168 | 3% |
| Computer Science | 146 | 2% |
| Other | 776 | 13% |
| Unknown | 2197 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 81. 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 19 June 2024.
All research outputs
#556,431
of 26,375,498 outputs
Outputs from Nucleic Acids Research
#152
of 28,086 outputs
Outputs of similar age
#11,900
of 451,942 outputs
Outputs of similar age from Nucleic Acids Research
#2
of 365 outputs
Altmetric has tracked 26,375,498 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 28,086 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 99% 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 451,942 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 97% of its contemporaries.
We're also able to compare this research output to 365 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.