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Twitter Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Comparison of Protein Force Fields for Molecular Dynamics Simulations
|
|---|---|
| Chapter number | 4 |
| Book title |
Molecular Modeling of Proteins
|
| Published in |
Methods in molecular biology, January 2008
|
| DOI | 10.1007/978-1-59745-177-2_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-58829-864-5, 978-1-59745-177-2
|
| Authors |
Olgun Guvench, Alexander D. MacKerell, Guvench, Olgun, MacKerell, Alexander D. |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 459 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 2% |
| Germany | 2 | <1% |
| India | 2 | <1% |
| Poland | 2 | <1% |
| Canada | 2 | <1% |
| Sweden | 2 | <1% |
| Brazil | 2 | <1% |
| Australia | 1 | <1% |
| Indonesia | 1 | <1% |
| Other | 4 | <1% |
| Unknown | 433 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 126 | 27% |
| Researcher | 72 | 16% |
| Student > Master | 62 | 14% |
| Student > Bachelor | 53 | 12% |
| Student > Doctoral Student | 21 | 5% |
| Other | 61 | 13% |
| Unknown | 64 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 108 | 24% |
| Agricultural and Biological Sciences | 93 | 20% |
| Biochemistry, Genetics and Molecular Biology | 81 | 18% |
| Physics and Astronomy | 21 | 5% |
| Engineering | 20 | 4% |
| Other | 62 | 14% |
| Unknown | 74 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 27 April 2020.
All research outputs
#15,505,836
of 23,043,346 outputs
Outputs from Methods in molecular biology
#5,403
of 13,194 outputs
Outputs of similar age
#132,324
of 157,132 outputs
Outputs of similar age from Methods in molecular biology
#64
of 88 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,194 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 157,132 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.