You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation
|
|---|---|
| Published by |
Advances in experimental medicine and biology, January 2014
|
| DOI | 10.1007/978-94-007-7606-7 |
| ISBNs |
978-9-40-077605-0, 978-9-40-077606-7
|
| Editors |
Gregory R. Bowman, Vijay S. Pande, Frank Noé |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 229 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 3% |
| Germany | 4 | 2% |
| United Kingdom | 3 | 1% |
| Japan | 2 | <1% |
| Uruguay | 1 | <1% |
| Russia | 1 | <1% |
| Italy | 1 | <1% |
| Canada | 1 | <1% |
| Poland | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 209 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 78 | 34% |
| Researcher | 48 | 21% |
| Student > Master | 29 | 13% |
| Student > Bachelor | 16 | 7% |
| Student > Doctoral Student | 12 | 5% |
| Other | 32 | 14% |
| Unknown | 14 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 72 | 31% |
| Physics and Astronomy | 42 | 18% |
| Agricultural and Biological Sciences | 31 | 14% |
| Biochemistry, Genetics and Molecular Biology | 19 | 8% |
| Chemical Engineering | 11 | 5% |
| Other | 37 | 16% |
| Unknown | 17 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 24 March 2023.
All research outputs
#2,934,730
of 23,578,918 outputs
Outputs from Advances in experimental medicine and biology
#450
of 5,024 outputs
Outputs of similar age
#34,988
of 308,540 outputs
Outputs of similar age from Advances in experimental medicine and biology
#12
of 141 outputs
Altmetric has tracked 23,578,918 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,024 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 91% 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 308,540 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 141 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 91% of its contemporaries.