| Title |
Towards reproducibility in large-scale analysis of protein–protein interactions
|
|---|---|
| Published in |
Nature Methods, July 2021
|
| DOI | 10.1038/s41592-021-01202-7 |
| Pubmed ID | |
| Authors |
Fridtjof Lund-Johansen, Trung Tran, Adi Mehta |
X Demographics
The data shown below were collected from the profiles of 11 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 | 5 | 45% |
| Japan | 1 | 9% |
| United Kingdom | 1 | 9% |
| Canada | 1 | 9% |
| Mexico | 1 | 9% |
| Norway | 1 | 9% |
| Unknown | 1 | 9% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 82% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 31% |
| Student > Ph. D. Student | 6 | 23% |
| Student > Master | 2 | 8% |
| Professor | 1 | 4% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 6 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 38% |
| Agricultural and Biological Sciences | 2 | 8% |
| Computer Science | 2 | 8% |
| Neuroscience | 2 | 8% |
| Immunology and Microbiology | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 6 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 17 July 2021.
All research outputs
#6,041,051
of 23,308,124 outputs
Outputs from Nature Methods
#3,363
of 4,985 outputs
Outputs of similar age
#124,941
of 442,548 outputs
Outputs of similar age from Nature Methods
#65
of 78 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 4,985 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.2. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 442,548 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% 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 is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.