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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automatic data extraction to support meta-analysis statistical analysis: a case study on breast cancer
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2022
|
| DOI | 10.1186/s12911-022-01897-4 |
| Pubmed ID | |
| Authors |
Faith Wavinya Mutinda, Kongmeng Liew, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| United Kingdom | 1 | 25% |
| Japan | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 17% |
| Lecturer | 2 | 9% |
| Librarian | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 11 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 17% |
| Business, Management and Accounting | 2 | 9% |
| Computer Science | 2 | 9% |
| Agricultural and Biological Sciences | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 12 | 52% |
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 23 June 2022.
All research outputs
#13,409,247
of 23,344,526 outputs
Outputs from BMC Medical Informatics and Decision Making
#934
of 2,022 outputs
Outputs of similar age
#173,115
of 443,977 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#13
of 56 outputs
Altmetric has tracked 23,344,526 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 2,022 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 52% 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 443,977 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 60% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.