The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
No-boundary thinking for artificial intelligence in bioinformatics and education
|
|---|---|
| Published in |
Frontiers in Bioinformatics, January 2024
|
| DOI | 10.3389/fbinf.2023.1332902 |
| Pubmed ID | |
| Authors |
Prajay Patel, Nisha Pillai, Inimary Toby |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 71% |
| Members of the public | 2 | 29% |
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 % |
|---|---|---|
| Lecturer | 2 | 15% |
| Professor | 1 | 8% |
| Researcher | 1 | 8% |
| Student > Master | 1 | 8% |
| Unknown | 8 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 2 | 15% |
| Computer Science | 1 | 8% |
| Chemistry | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 8 | 62% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 August 2024.
All research outputs
#8,987,935
of 26,495,046 outputs
Outputs from Frontiers in Bioinformatics
#145
of 354 outputs
Outputs of similar age
#130,108
of 384,431 outputs
Outputs of similar age from Frontiers in Bioinformatics
#7
of 33 outputs
Altmetric has tracked 26,495,046 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 354 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 58% 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 384,431 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 63% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.