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X Demographics
Mendeley readers
Attention Score in Context
| Title |
In silico Drug Screening Approach Using L1000-Based Connectivity Map and Its Application to COVID-19
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, March 2022
|
| DOI | 10.3389/fcvm.2022.842641 |
| Pubmed ID | |
| Authors |
Takaharu Asano, Sarvesh Chelvanambi, Julius L. Decano, Mary C. Whelan, Elena Aikawa, Masanori Aikawa |
X Demographics
The data shown below were collected from the profiles of 8 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 | 3 | 38% |
| Switzerland | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 40% |
| Student > Ph. D. Student | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Student > Master | 1 | 7% |
| Student > Postgraduate | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 5 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 13% |
| Engineering | 2 | 13% |
| Agricultural and Biological Sciences | 2 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Unknown | 8 | 53% |
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 21 May 2022.
All research outputs
#5,802,311
of 23,804,991 outputs
Outputs from Frontiers in Cardiovascular Medicine
#883
of 7,648 outputs
Outputs of similar age
#115,183
of 443,854 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#154
of 1,002 outputs
Altmetric has tracked 23,804,991 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,648 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 88% 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 443,854 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 73% of its contemporaries.
We're also able to compare this research output to 1,002 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.