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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ImmunoGlobe: enabling systems immunology with a manually curated intercellular immune interaction network
|
|---|---|
| Published in |
BMC Bioinformatics, August 2020
|
| DOI | 10.1186/s12859-020-03702-3 |
| Pubmed ID | |
| Authors |
Michelle B. Atallah, Varun Tandon, Kamir J. Hiam, Hunter Boyce, Michelle Hori, Waleed Atallah, Matthew H. Spitzer, Edgar Engleman, Parag Mallick |
X Demographics
The data shown below were collected from the profiles of 19 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 | 6 | 32% |
| United Kingdom | 3 | 16% |
| Japan | 1 | 5% |
| Switzerland | 1 | 5% |
| France | 1 | 5% |
| Singapore | 1 | 5% |
| Netherlands | 1 | 5% |
| Sweden | 1 | 5% |
| India | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 2 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 53% |
| Members of the public | 8 | 42% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
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 % |
|---|---|---|
| Researcher | 12 | 31% |
| Student > Ph. D. Student | 7 | 18% |
| Student > Bachelor | 4 | 10% |
| Student > Master | 2 | 5% |
| Student > Doctoral Student | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 9 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 18% |
| Computer Science | 7 | 18% |
| Immunology and Microbiology | 5 | 13% |
| Agricultural and Biological Sciences | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 8 | 21% |
| Unknown | 8 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 11 September 2020.
All research outputs
#3,247,117
of 24,586,986 outputs
Outputs from BMC Bioinformatics
#1,063
of 7,556 outputs
Outputs of similar age
#81,395
of 403,847 outputs
Outputs of similar age from BMC Bioinformatics
#26
of 143 outputs
Altmetric has tracked 24,586,986 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,556 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 done well, scoring higher than 85% 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 403,847 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 143 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.