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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ovarian cancer cells direct monocyte differentiation through a non-canonical pathway
|
|---|---|
| Published in |
BMC Cancer, October 2020
|
| DOI | 10.1186/s12885-020-07513-w |
| Pubmed ID | |
| Authors |
Kaitlin C. Fogg, Andrew E. Miller, Ying Li, Will Flanigan, Alyssa Walker, Andrea O’Shea, Christina Kendziorski, Pamela K. Kreeger |
X Demographics
The data shown below were collected from the profiles of 5 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 | 60% |
| United Kingdom | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 11% |
| Student > Doctoral Student | 2 | 11% |
| Student > Bachelor | 2 | 11% |
| Professor | 2 | 11% |
| Researcher | 2 | 11% |
| Other | 4 | 21% |
| Unknown | 5 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 37% |
| Medicine and Dentistry | 2 | 11% |
| Chemical Engineering | 1 | 5% |
| Mathematics | 1 | 5% |
| Engineering | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 7 | 37% |
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 24 November 2020.
All research outputs
#14,383,076
of 25,363,868 outputs
Outputs from BMC Cancer
#3,032
of 8,969 outputs
Outputs of similar age
#203,852
of 437,841 outputs
Outputs of similar age from BMC Cancer
#39
of 136 outputs
Altmetric has tracked 25,363,868 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,969 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 65% 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 437,841 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 52% of its contemporaries.
We're also able to compare this research output to 136 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 72% of its contemporaries.