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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hot spot-based design of small-molecule inhibitors for protein–protein interactions
|
|---|---|
| Published in |
Bioorganic & Medicinal Chemistry Letters, April 2014
|
| DOI | 10.1016/j.bmcl.2014.03.095 |
| Pubmed ID | |
| Authors |
Wenxing Guo, John A. Wisniewski, Haitao Ji |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 321 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | 2% |
| Italy | 2 | <1% |
| Japan | 2 | <1% |
| South Africa | 1 | <1% |
| India | 1 | <1% |
| Canada | 1 | <1% |
| Germany | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 304 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 89 | 28% |
| Researcher | 70 | 22% |
| Student > Master | 37 | 12% |
| Student > Bachelor | 24 | 7% |
| Student > Doctoral Student | 16 | 5% |
| Other | 41 | 13% |
| Unknown | 44 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 113 | 35% |
| Biochemistry, Genetics and Molecular Biology | 58 | 18% |
| Agricultural and Biological Sciences | 53 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 19 | 6% |
| Computer Science | 10 | 3% |
| Other | 21 | 7% |
| Unknown | 47 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 03 January 2023.
All research outputs
#1,681,266
of 26,017,215 outputs
Outputs from Bioorganic & Medicinal Chemistry Letters
#56
of 13,930 outputs
Outputs of similar age
#16,478
of 243,449 outputs
Outputs of similar age from Bioorganic & Medicinal Chemistry Letters
#2
of 129 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,930 research outputs from this source. They receive a mean Attention Score of 4.9. 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 243,449 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 92% of its contemporaries.
We're also able to compare this research output to 129 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 98% of its contemporaries.