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.
Timeline
X Demographics
Mendeley readers
Chapter title |
Methods for Molecular Modelling of Protein Complexes
|
---|---|
Chapter number | 3 |
Book title |
Structural Proteomics
|
Published by |
Humana, New York, NY, May 2021
|
DOI | 10.1007/978-1-0716-1406-8_3 |
Pubmed ID | |
Book ISBNs |
978-1-07-161405-1, 978-1-07-161406-8
|
Authors |
Tejashree Rajaram Kanitkar, Neeladri Sen, Sanjana Nair, Neelesh Soni, Kaustubh Amritkar, Yogendra Ramtirtha, M. S. Madhusudhan, Kanitkar, TR, Sen, N, Nair, S, Soni, N, Amritkar, K, Ramtirtha, Y, Madhusudhan, MS, Kanitkar, Tejashree Rajaram, Sen, Neeladri, Nair, Sanjana, Soni, Neelesh, Amritkar, Kaustubh, Ramtirtha, Yogendra, Madhusudhan, M. S. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 3 | 25% |
United States | 2 | 17% |
Netherlands | 1 | 8% |
Unknown | 6 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 58% |
Scientists | 5 | 42% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 1 | 7% |
Other | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Student > Bachelor | 1 | 7% |
Professor | 1 | 7% |
Other | 3 | 21% |
Unknown | 6 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 2 | 14% |
Unspecified | 1 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
Nursing and Health Professions | 1 | 7% |
Mathematics | 1 | 7% |
Other | 2 | 14% |
Unknown | 6 | 43% |