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X Demographics
Mendeley readers
Attention Score in Context
| Title |
AgroSeek: a system for computational analysis of environmental metagenomic data and associated metadata
|
|---|---|
| Published in |
BMC Bioinformatics, March 2021
|
| DOI | 10.1186/s12859-021-04035-5 |
| Pubmed ID | |
| Authors |
Xiao Liang, Kyle Akers, Ishi Keenum, Lauren Wind, Suraj Gupta, Chaoqi Chen, Reem Aldaihani, Amy Pruden, Liqing Zhang, Katharine F. Knowlton, Kang Xia, Lenwood S. Heath |
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 Kingdom | 2 | 25% |
| India | 1 | 13% |
| Sweden | 1 | 13% |
| Italy | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 75% |
| Members of the public | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 18% |
| Student > Ph. D. Student | 5 | 13% |
| Librarian | 4 | 10% |
| Student > Bachelor | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 15 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 10% |
| Engineering | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Earth and Planetary Sciences | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 9 | 23% |
| Unknown | 18 | 45% |
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 12 March 2021.
All research outputs
#7,648,449
of 23,287,285 outputs
Outputs from BMC Bioinformatics
#3,071
of 7,375 outputs
Outputs of similar age
#168,134
of 422,656 outputs
Outputs of similar age from BMC Bioinformatics
#84
of 158 outputs
Altmetric has tracked 23,287,285 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,375 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 422,656 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 57% of its contemporaries.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.