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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of Nucleophilicity and Electrophilicity Based on a Machine‐Learning Approach
|
|---|---|
| Published in |
ChemPhysChem, June 2023
|
| DOI | 10.1002/cphc.202300162 |
| Pubmed ID | |
| Authors |
Yidi Liu, Qi Yang, Junjie Cheng, Long Zhang, Sanzhong Luo, Jin‐Pei Cheng |
X Demographics
The data shown below were collected from the profiles of 50 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 Kingdom | 4 | 8% |
| India | 4 | 8% |
| Germany | 3 | 6% |
| France | 2 | 4% |
| Canada | 2 | 4% |
| United States | 2 | 4% |
| Italy | 1 | 2% |
| Chile | 1 | 2% |
| Poland | 1 | 2% |
| Other | 9 | 18% |
| Unknown | 21 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 28 | 56% |
| Members of the public | 22 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 38% |
| Student > Ph. D. Student | 2 | 25% |
| Unknown | 3 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 4 | 50% |
| Chemical Engineering | 1 | 13% |
| Unknown | 3 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 27 June 2023.
All research outputs
#1,207,665
of 25,368,786 outputs
Outputs from ChemPhysChem
#18
of 5,453 outputs
Outputs of similar age
#24,164
of 387,568 outputs
Outputs of similar age from ChemPhysChem
#2
of 100 outputs
Altmetric has tracked 25,368,786 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,453 research outputs from this source. They receive a mean Attention Score of 2.2. 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 387,568 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 93% of its contemporaries.
We're also able to compare this research output to 100 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.