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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Semi-automated workflow for molecular pair analysis and QSAR-assisted transformation space expansion
|
|---|---|
| Published in |
Journal of Cheminformatics, November 2021
|
| DOI | 10.1186/s13321-021-00564-6 |
| Pubmed ID | |
| Authors |
Zi-Yi Yang, Li Fu, Ai-Ping Lu, Shao Liu, Ting-Jun Hou, Dong-Sheng Cao |
X Demographics
The data shown below were collected from the profiles of 11 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 | 2 | 18% |
| Romania | 1 | 9% |
| Sweden | 1 | 9% |
| Israel | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 4 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 14% |
| Student > Bachelor | 2 | 10% |
| Researcher | 2 | 10% |
| Lecturer | 1 | 5% |
| Professor | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 9 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 6 | 29% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Physics and Astronomy | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Neuroscience | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 19 November 2021.
All research outputs
#6,281,772
of 24,903,209 outputs
Outputs from Journal of Cheminformatics
#486
of 934 outputs
Outputs of similar age
#116,264
of 427,183 outputs
Outputs of similar age from Journal of Cheminformatics
#14
of 25 outputs
Altmetric has tracked 24,903,209 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 47th percentile – i.e., 47% 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 427,183 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.