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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Implementation of homology based and non-homology based computational methods for the identification and annotation of orphan enzymes: using Mycobacterium tuberculosis H37Rv as a case study
|
|---|---|
| Published in |
BMC Bioinformatics, October 2020
|
| DOI | 10.1186/s12859-020-03794-x |
| Pubmed ID | |
| Authors |
Swati Sinha, Andrew M. Lynn, Dhwani K. Desai |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Sweden | 1 | 33% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 26% |
| Student > Ph. D. Student | 8 | 21% |
| Student > Master | 4 | 10% |
| Researcher | 4 | 10% |
| Other | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 8 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 44% |
| Agricultural and Biological Sciences | 4 | 10% |
| Computer Science | 4 | 10% |
| Chemistry | 2 | 5% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 8 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 05 May 2023.
All research outputs
#6,862,341
of 23,983,331 outputs
Outputs from BMC Bioinformatics
#2,547
of 7,490 outputs
Outputs of similar age
#147,435
of 422,590 outputs
Outputs of similar age from BMC Bioinformatics
#66
of 175 outputs
Altmetric has tracked 23,983,331 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,490 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 64% 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 422,590 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 64% of its contemporaries.
We're also able to compare this research output to 175 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.