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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Expanding the Accessible Chemical Space of SIRT2 Inhibitors through Exploration of Binding Pocket Dynamics
|
|---|---|
| Published in |
Journal of Chemical Information and Modeling, April 2022
|
| DOI | 10.1021/acs.jcim.2c00241 |
| Pubmed ID | |
| Authors |
Nemanja Djokovic, Dusan Ruzic, Minna Rahnasto-Rilla, Tatjana Srdic-Rajic, Maija Lahtela-Kakkonen, Katarina Nikolic |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 1 | 8% |
| Chile | 1 | 8% |
| United States | 1 | 8% |
| Serbia | 1 | 8% |
| Sweden | 1 | 8% |
| Unknown | 8 | 62% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 54% |
| Scientists | 5 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 23% |
| Student > Ph. D. Student | 3 | 23% |
| Student > Bachelor | 2 | 15% |
| Researcher | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 23% |
| Computer Science | 2 | 15% |
| Social Sciences | 2 | 15% |
| Chemistry | 1 | 8% |
| Engineering | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 4 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 10 June 2022.
All research outputs
#5,142,884
of 25,461,852 outputs
Outputs from Journal of Chemical Information and Modeling
#1,594
of 5,720 outputs
Outputs of similar age
#109,401
of 446,772 outputs
Outputs of similar age from Journal of Chemical Information and Modeling
#35
of 121 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,720 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 72% 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 446,772 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 75% of its contemporaries.
We're also able to compare this research output to 121 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 71% of its contemporaries.