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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessing the Relative Stability of Dimer Interfaces in G Protein-Coupled Receptors
|
|---|---|
| Published in |
PLoS Computational Biology, August 2012
|
| DOI | 10.1371/journal.pcbi.1002649 |
| Pubmed ID | |
| Authors |
Jennifer M. Johnston, Hao Wang, Davide Provasi, Marta Filizola |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| India | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| France | 1 | <1% |
| Spain | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 100 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 27% |
| Researcher | 28 | 26% |
| Student > Master | 14 | 13% |
| Student > Bachelor | 7 | 6% |
| Professor | 7 | 6% |
| Other | 14 | 13% |
| Unknown | 9 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 31% |
| Biochemistry, Genetics and Molecular Biology | 26 | 24% |
| Chemistry | 16 | 15% |
| Physics and Astronomy | 7 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Other | 12 | 11% |
| Unknown | 11 | 10% |
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 02 April 2020.
All research outputs
#6,981,937
of 26,017,215 outputs
Outputs from PLoS Computational Biology
#4,665
of 9,038 outputs
Outputs of similar age
#47,253
of 178,230 outputs
Outputs of similar age from PLoS Computational Biology
#44
of 101 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 9,038 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 47th percentile – i.e., 47% 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 178,230 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 72% of its contemporaries.
We're also able to compare this research output to 101 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 55% of its contemporaries.