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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accelerating Cryptic Pocket Discovery Using AlphaFold
|
|---|---|
| Published in |
Journal of Chemical Theory and Computation, March 2023
|
| DOI | 10.1021/acs.jctc.2c01189 |
| Pubmed ID | |
| Authors |
Artur Meller, Soumendranath Bhakat, Shahlo Solieva, Gregory R. Bowman |
X Demographics
The data shown below were collected from the profiles of 79 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 | 14 | 18% |
| Japan | 6 | 8% |
| France | 2 | 3% |
| India | 2 | 3% |
| United Kingdom | 2 | 3% |
| Italy | 2 | 3% |
| New Zealand | 1 | 1% |
| Singapore | 1 | 1% |
| China | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 44 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 39 | 49% |
| Scientists | 36 | 46% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
| Practitioners (doctors, other healthcare professionals) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 33% |
| Student > Ph. D. Student | 8 | 15% |
| Student > Doctoral Student | 3 | 6% |
| Student > Master | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 17 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 16 | 30% |
| Biochemistry, Genetics and Molecular Biology | 10 | 19% |
| Agricultural and Biological Sciences | 4 | 7% |
| Computer Science | 2 | 4% |
| Physics and Astronomy | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 18 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 22 February 2024.
All research outputs
#990,657
of 25,550,333 outputs
Outputs from Journal of Chemical Theory and Computation
#28
of 7,428 outputs
Outputs of similar age
#21,184
of 423,000 outputs
Outputs of similar age from Journal of Chemical Theory and Computation
#2
of 158 outputs
Altmetric has tracked 25,550,333 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,428 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 99% 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 423,000 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 158 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 99% of its contemporaries.