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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Novel machine learning approaches revolutionize protein knowledge
|
|---|---|
| Published in |
Trends in Biochemical Sciences, December 2022
|
| DOI | 10.1016/j.tibs.2022.11.001 |
| Pubmed ID | |
| Authors |
Nicola Bordin, Christian Dallago, Michael Heinzinger, Stephanie Kim, Maria Littmann, Clemens Rauer, Martin Steinegger, Burkhard Rost, Christine Orengo |
X Demographics
The data shown below were collected from the profiles of 217 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 | 26 | 12% |
| Japan | 12 | 6% |
| United Kingdom | 11 | 5% |
| India | 9 | 4% |
| France | 5 | 2% |
| Germany | 5 | 2% |
| Spain | 4 | 2% |
| Mexico | 4 | 2% |
| Switzerland | 3 | 1% |
| Other | 37 | 17% |
| Unknown | 101 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 170 | 78% |
| Scientists | 44 | 20% |
| Science communicators (journalists, bloggers, editors) | 2 | <1% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 95 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 20% |
| Student > Ph. D. Student | 12 | 13% |
| Student > Master | 8 | 8% |
| Student > Bachelor | 7 | 7% |
| Professor | 4 | 4% |
| Other | 12 | 13% |
| Unknown | 33 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 26 | 27% |
| Agricultural and Biological Sciences | 6 | 6% |
| Chemistry | 6 | 6% |
| Engineering | 5 | 5% |
| Computer Science | 4 | 4% |
| Other | 8 | 8% |
| Unknown | 40 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 126. 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 28 November 2023.
All research outputs
#340,312
of 25,844,815 outputs
Outputs from Trends in Biochemical Sciences
#11
of 2,726 outputs
Outputs of similar age
#8,397
of 488,955 outputs
Outputs of similar age from Trends in Biochemical Sciences
#2
of 15 outputs
Altmetric has tracked 25,844,815 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,726 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. 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 488,955 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 98% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.